BibSLEIGH — cluster stem

Used together with:

base (403)
use (263)
data (229)
document (158)
algorithm (149)

Stem cluster$ (all stems)

1922 papers:

CASE-2015-BoH #clustering #fault #process: Qualitative trend clustering of process data for fault diagnosis (ZB, YH), pp. 1584–1588.
CASE-2015-PanZQ #clustering #how #process #tool support: How to start-up dual-arm cluster tools involving a wafer revisiting process (CP, MZ, YQ), pp. 1194–1199.
CASE-2015-SchafaschekQC #clustering #composition #scheduling #tool support: Local modular supervisory control applied to the scheduling of cluster tools (GS, MHdQ, JERC), pp. 1381–1388.
CASE-2015-ZhuQZ #clustering #modelling #multi #petri net #scheduling #tool support: Petri net modeling and one-wafer scheduling of single-arm tree-like multi-cluster tools (QZ, YQ, MZ), pp. 292–297.
DAC-2015-JiangWS #clustering #power management #sorting: A low power unsupervised spike sorting accelerator insensitive to clustering initialization in sub-optimal feature space (ZJ, QW, MS), p. 6.
DAC-2015-RahimiCMGB #clustering #embedded #hardware #memory management #scheduling #variability: Task scheduling strategies to mitigate hardware variability in embedded shared memory clusters (AR, DC, AM, RKG, LB), p. 6.
DATE-2015-0001B #clustering #energy #manycore #performance: A ultra-low-energy convolution engine for fast brain-inspired vision in multicore clusters (FC, LB), pp. 683–688.
DATE-2015-CakirM #clustering #correlation #detection #hardware #using: Hardware Trojan detection for gate-level ICs using signal correlation based clustering (BÇ, SM), pp. 471–476.
DATE-2015-HuangHC #algorithm #clustering #framework #multi #problem #scalability: Clustering-based multi-touch algorithm framework for the tracking problem with a large number of points (SLH, SYH, CPC), pp. 719–724.
DATE-2015-LoCH #architecture #clustering #fault: Architecture of ring-based redundant TSV for clustered faults (WHL, KC, TH), pp. 848–853.
DRR-2015-NagyEKS #category theory #clustering #web: Clustering header categories extracted from web tables (GN, DWE, MSK, SCS).
DRR-2015-SoheiliKS #clustering #image #recognition: Clustering of Farsi sub-word images for whole-book recognition (MRS, EK, DS).
HT-2015-SampsonMML #clustering #keyword #twitter: Surpassing the Limit: Keyword Clustering to Improve Twitter Sample Coverage (JS, FM, RM, HL), pp. 237–245.
SIGMOD-2015-AllardHMP #clustering #named #privacy: Chiaroscuro: Transparency and Privacy for Massive Personal Time-Series Clustering (TA, GH, FM, EP), pp. 779–794.
SIGMOD-2015-CochezM #approximate #clustering #distance #linear: Twister Tries: Approximate Hierarchical Agglomerative Clustering for Average Distance in Linear Time (MC, HM), pp. 505–517.
SIGMOD-2015-PaparrizosG #clustering #named #performance: k-Shape: Efficient and Accurate Clustering of Time Series (JP, LG), pp. 1855–1870.
VLDB-2015-ChuWLHP #clustering #detection #named #scalability: ALID: Scalable Dominant Cluster Detection (LC, SW, SL, QH, JP), pp. 826–837.
VLDB-2015-DingWDFZZ #clustering #named #performance #scalability: YADING: Fast Clustering of Large-Scale Time Series Data (RD, QW, YD, QF, HZ, DZ), pp. 473–484.
VLDB-2015-SchubertKEZSZ #clustering #framework #nondeterminism: A Framework for Clustering Uncertain Data (ES, AK, TE, AZ, KAS, AZ), pp. 1976–1987.
VLDB-2015-ShiokawaFO #algorithm #clustering #graph #performance #scalability: SCAN++: Efficient Algorithm for Finding Clusters, Hubs and Outliers on Large-scale Graphs (HS, YF, MO), pp. 1178–1189.
ITiCSE-2015-Rubio #analysis #automation #categorisation #clustering #programming #student #using: Automatic Categorization of Introductory Programming Students using Cluster Analysis (MAR), p. 340.
SCAM-J-2013-BeszedesSCGJG15 #clustering #dependence #empirical: Empirical investigation of SEA-based dependence cluster properties (ÁB, LS, BC, TG, JJ, TG), pp. 3–25.
ICSME-2015-BinkleyBIJV #clustering #dependence: Uncovering dependence clusters and linchpin functions (DB, ÁB, SSI, JJ, BV), pp. 141–150.
SANER-2015-SaeidiHKJ #approach #clustering #multi #search-based: A search-based approach to multi-view clustering of software systems (AS, JH, RK, SJ), pp. 429–438.
STOC-2015-ChanL #clustering #combinator #integer: Clustered Integer 3SUM via Additive Combinatorics (TMC, ML), pp. 31–40.
STOC-2015-ChawlaMSY #algorithm #clustering #graph: Near Optimal LP Rounding Algorithm for CorrelationClustering on Complete and Complete k-partite Graphs (SC, KM, TS, GY), pp. 219–228.
STOC-2015-CohenEMMP #approximate #clustering #rank #reduction: Dimensionality Reduction for k-Means Clustering and Low Rank Approximation (MBC, SE, CM, CM, MP), pp. 163–172.
STOC-2015-CzumajPS #clustering #graph #testing: Testing Cluster Structure of Graphs (AC, PP, CS), pp. 723–732.
ICALP-v1-2015-BehsazFSS #algorithm #approximate #clustering: Approximation Algorithms for Min-Sum k-Clustering and Balanced k-Median (BB, ZF, MRS, RS), pp. 116–128.
ICALP-v2-2015-FeldmanF #clustering #framework #game studies: A Unified Framework for Strong Price of Anarchy in Clustering Games (MF, OF), pp. 601–613.
HIMI-IKC-2015-IshiiMKS #clustering #education #topic: A Topic Model for Clustering Learners Based on Contents in Educational Counseling (TI, SM, KK, YS), pp. 323–331.
CAiSE-2015-AbubahiaC #approach #clustering: A Clustering Approach for Protecting GIS Vector Data (AA, MC), pp. 133–147.
CAiSE-2015-SunB #approach #clustering #novel #top-down: A Novel Top-Down Approach for Clustering Traces (YS, BB), pp. 331–345.
ICEIS-v1-2015-CarboneraA #algorithm #category theory #clustering #named: CBK-Modes: A Correlation-based Algorithm for Categorical Data Clustering (JLC, MA), pp. 603–608.
ICEIS-v1-2015-CostaFMO #clustering #database #scalability: Sharding by Hash Partitioning — A Database Scalability Pattern to Achieve Evenly Sharded Database Clusters (CHC, JVBMF, PHMM, FCMBO), pp. 313–320.
ICEIS-v1-2015-SautotBJF #clustering #design #modelling #multi #refinement: Mixed Driven Refinement Design of Multidimensional Models based on Agglomerative Hierarchical Clustering (LS, SB, LJ, BF), pp. 547–555.
ECIR-2015-AmigoGM #approach #clustering #effectiveness #formal method #information management #metric #retrieval: A Formal Approach to Effectiveness Metrics for Information Access: Retrieval, Filtering, and Clustering (EA, JG, SM), pp. 817–821.
ECIR-2015-KimVBR #clustering #multi: Temporal Multinomial Mixture for Instance-Oriented Evolutionary Clustering (YMK, JV, SB, MAR), pp. 593–604.
ECIR-2015-KingI #clustering #generative #music: Generating Music Playlists with Hierarchical Clustering and Q-Learning (JK, VI), pp. 315–326.
ICML-2015-AhnCGMW #clustering #correlation #data type: Correlation Clustering in Data Streams (KJA, GC, SG, AM, AW), pp. 2237–2246.
ICML-2015-BahadoriKFL #clustering #functional: Functional Subspace Clustering with Application to Time Series (MTB, DCK, YF, YL), pp. 228–237.
ICML-2015-BoutsidisKG #clustering: Spectral Clustering via the Power Method — Provably (CB, PK, AG), pp. 40–48.
ICML-2015-LimCX #clustering #framework #optimisation: A Convex Optimization Framework for Bi-Clustering (SHL, YC, HX), pp. 1679–1688.
ICML-2015-SunLXB #clustering #multi: Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization (JS, JL, TX, JB), pp. 757–766.
ICML-2015-WangWS #analysis #clustering: A Deterministic Analysis of Noisy Sparse Subspace Clustering for Dimensionality-reduced Data (YW, YXW, AS), pp. 1422–1431.
ICML-2015-WangZ #clustering #named #parametricity: DP-space: Bayesian Nonparametric Subspace Clustering with Small-variance Asymptotics (YW, JZ), pp. 862–870.
ICML-2015-YangRV #clustering: Sparse Subspace Clustering with Missing Entries (CY, DR, RV), pp. 2463–2472.
ICML-2015-YangX15b #clustering #distributed #divide and conquer #framework #graph: A Divide and Conquer Framework for Distributed Graph Clustering (WY, HX), pp. 504–513.
KDD-2015-BegumUWK #clustering #novel: Accelerating Dynamic Time Warping Clustering with a Novel Admissible Pruning Strategy (NB, LU, JW, EJK), pp. 49–58.
KDD-2015-BotezatuBGVW #clustering #multi: Multi-View Incident Ticket Clustering for Optimal Ticket Dispatching (MMB, JB, IG, HV, DW), pp. 1711–1720.
KDD-2015-DuFASS #clustering #documentation #process: Dirichlet-Hawkes Processes with Applications to Clustering Continuous-Time Document Streams (ND, MF, AA, AJS, LS), pp. 219–228.
KDD-2015-FisherCWR #clustering #framework: A Clustering-Based Framework to Control Block Sizes for Entity Resolution (JF, PC, QW, ER), pp. 279–288.
KDD-2015-HallacLB #clustering #graph #network #optimisation #scalability: Network Lasso: Clustering and Optimization in Large Graphs (DH, JL, SB), pp. 387–396.
KDD-2015-HouWGD #clustering #programming #rank: Non-exhaustive, Overlapping Clustering via Low-Rank Semidefinite Programming (YH, JJW, DFG, ISD), pp. 427–436.
KDD-2015-LiuLWTF #clustering: Spectral Ensemble Clustering (HL, TL, JW, DT, YF), pp. 715–724.
KDD-2015-MayaMMAY #clustering #using: Discovery of Glaucoma Progressive Patterns Using Hierarchical MDL-Based Clustering (SM, KM, HM, RA, KY), pp. 1979–1988.
KDD-2015-NiTFZ #clustering #flexibility #multi #robust: Flexible and Robust Multi-Network Clustering (JN, HT, WF, XZ), pp. 835–844.
KDD-2015-PengKLC #approximate #clustering #rank #using: Subspace Clustering Using Log-determinant Rank Approximation (CP, ZK, HL, QC), pp. 925–934.
KDD-2015-RenEWTVH #clustering #effectiveness #named #recognition #type system: ClusType: Effective Entity Recognition and Typing by Relation Phrase-Based Clustering (XR, AEK, CW, FT, CRV, JH), pp. 995–1004.
KDD-2015-SongLZ #clustering: Turn Waste into Wealth: On Simultaneous Clustering and Cleaning over Dirty Data (SS, CL, XZ), pp. 1115–1124.
KDD-2015-Verroios0JG #clustering #modelling: Client Clustering for Hiring Modeling in Work Marketplaces (VV, PP, RJ, HGM), pp. 2187–2196.
KDD-2015-WangSERZH #clustering #documentation #network: Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks (CW, YS, AEK, DR, MZ, JH), pp. 1215–1224.
KDD-2015-Yi0YLW #algorithm #clustering #constraints #performance: An Efficient Semi-Supervised Clustering Algorithm with Sequential Constraints (JY, LZ, TY, WL, JW), pp. 1405–1414.
KDD-2015-ZhouLB #analysis #clustering #graph: Integrating Vertex-centric Clustering with Edge-centric Clustering for Meta Path Graph Analysis (YZ, LL, DB), pp. 1563–1572.
KDD-2015-ZhuYH #clustering #optimisation #predict: Co-Clustering based Dual Prediction for Cargo Pricing Optimization (YZ, HY, JH), pp. 1583–1592.
MLDM-2015-AmalamanE #algorithm #clustering #named: Avalanche: A Hierarchical, Divisive Clustering Algorithm (PKA, CFE), pp. 296–310.
MLDM-2015-IshayH #algorithm #clustering #integration #novel: A Novel Algorithm for the Integration of the Imputation of Missing Values and Clustering (RBI, MH), pp. 115–129.
MLDM-2015-MojahedBWI #analysis #clustering #matrix #semistructured data #similarity #using: Applying Clustering Analysis to Heterogeneous Data Using Similarity Matrix Fusion (SMF) (AM, JHBS, WW, BdlI), pp. 251–265.
MLDM-2015-TreechalongRW #clustering #using: Semi-Supervised Stream Clustering Using Labeled Data Points (KT, TR, KW), pp. 281–295.
SIGIR-2015-HarelY #clustering #identification #query: Modularity-Based Query Clustering for Identifying Users Sharing a Common Condition (MGOH, EYT), pp. 819–822.
REFSQ-2015-DuanDCM #clustering #online #requirements: User-Constrained Clustering in Online Requirements Forums (CD, HD, JCH, BM), pp. 284–299.
SAC-2015-BarddalGE #algorithm #clustering #data type #named #social: SNCStream: a social network-based data stream clustering algorithm (JPB, HMG, FE), pp. 935–940.
SAC-2015-DiasGKT #3d #adaptation #architecture #clustering #collaboration: A dynamic-adaptive architecture for 3d collaborative virtual environments based on graphic clusters (DRCD, MdPG, TWK, LCT), pp. 480–487.
SAC-2015-GuedesBOX #clustering #graph #multi: Exploring multiple clusterings in attributed graphs (GPG, EB, ESO, GX), pp. 915–918.
SAC-2015-HanHQY #clustering: Locality-preserving L1-graph and its application in clustering (SH, HH, HQ, DY), pp. 813–818.
SAC-2015-HendersonGE #clustering #empirical #named #parametricity #performance #probability: EP-MEANS: an efficient nonparametric clustering of empirical probability distributions (KH, BG, TER), pp. 893–900.
SAC-2015-KimHC #clustering #documentation #representation #semantics: Semantically enriching text representation model for document clustering (HjK, KjH, JyC), pp. 922–925.
SAC-2015-MonteiroL #clustering #power management #scalability #web: Scalable model for dynamic configuration and power management in virtualized heterogeneous web clusters (AFM, OL), pp. 464–467.
SAC-2015-RodriguesBM #approach #behaviour #clustering #correlation #energy #using: Using fractal clustering to explore behavioral correlation: a new approach to reduce energy consumption in WSN (FR, AB, JEBM), pp. 589–591.
SAC-2015-SilvaBAR #clustering #multi #prototype #using: Semi-supervised clustering using multi-assistant-prototypes to represent each cluster (WJS, MCNB, SdA, HLR), pp. 831–836.
HPCA-2015-RosDK #classification #clustering #performance: Hierarchical private/shared classification: The key to simple and efficient coherence for clustered cache hierarchies (AR, MD, SK), pp. 186–197.
HPDC-2015-SabneSE #clustering #named #pipes and filters #programming: HeteroDoop: A MapReduce Programming System for Accelerator Clusters (AS, PS, RE), pp. 235–246.
ISMM-2015-CutlerM #clustering: Reducing pause times with clustered collection (CC, RM), pp. 131–142.
ICST-2015-ErmanTBRA #approach #automation #clustering #development #information management #multi #navigation #testing: Navigating Information Overload Caused by Automated Testing — a Clustering Approach in Multi-Branch Development (NE, VT, MB, PR, AA), pp. 1–9.
VMCAI-2015-BackesR #abstraction #analysis #clustering #graph transformation #infinity: Analysis of Infinite-State Graph Transformation Systems by Cluster Abstraction (PB, JR), pp. 135–152.
CASE-2014-YangWQZ #clustering #multi #scheduling #tool support: Optimal scheduling of single-arm multi-cluster tools with two-space buffering modules (FY, NW, YQ, MZ), pp. 75–80.
CASE-2014-YanLBSDG #clustering #energy: Energy-efficient building clusters (BY, PBL, MAB, CS, CD, ZG), pp. 966–971.
CASE-2014-ZhuWQZ #analysis #clustering #constraints #modelling #multi #petri net #scheduling #tool support: Modeling and schedulability analysis of single-arm multi-cluster tools with residency time constraints via Petri nets (QZ, NW, YQ, MZ), pp. 81–86.
DAC-2014-LiangC #analysis #clustering #named #network #probability #reduction #scalability #smarttech: ClusRed: Clustering and Network Reduction Based Probabilistic Optimal Power Flow Analysis for Large-Scale Smart Grids (YL, DC), p. 6.
DATE-2014-BurgioDMCB #clustering #hardware #programmable #scalability: A tightly-coupled hardware controller to improve scalability and programmability of shared-memory heterogeneous clusters (PB, RD, AM, PC, LB), pp. 1–4.
DATE-2014-BurgioTCMB #clustering #embedded #hardware #memory management #parallel: Tightly-coupled hardware support to dynamic parallelism acceleration in embedded shared memory clusters (PB, GT, FC, AM, LB), pp. 1–6.
DATE-2014-ZhangWSX #clustering: Lifetime holes aware register allocation for clustered VLIW processors (XZ, HW, HS, JX), pp. 1–4.
DocEng-2014-NourashrafeddinMA #approach #clustering #concept #documentation #using #wiki: An ensemble approach for text document clustering using Wikipedia concepts (SN, EEM, DVA), pp. 107–116.
DRR-2014-DiemKFS #automation #clustering #documentation #image #retrieval: Semi-automated document image clustering and retrieval (MD, FK, SF, RS), p. ?–10.
SIGMOD-2014-ShiMWC #clustering #network: Density-based place clustering in geo-social networks (JS, NM, DW, DWC), pp. 99–110.
SIGMOD-2014-ZhuGCL #analysis #clustering #graph #sentiment #social #social media: Tripartite graph clustering for dynamic sentiment analysis on social media (LZ, AG, JC, KL), pp. 1531–1542.
VLDB-2014-KunjirKB #clustering #multi #named #towards: Thoth: Towards Managing a Multi-System Cluster (MK, PK, SB), pp. 1689–1692.
VLDB-2014-SarmaHC #clustering #framework #named #similarity #using: ClusterJoin: A Similarity Joins Framework using Map-Reduce (ADS, YH, SC), pp. 1059–1070.
CSMR-WCRE-2014-AlalfiCD #analysis #clustering #experience #industrial: Analysis and clustering of model clones: An automotive industrial experience (MHA, JRC, TRD), pp. 375–378.
CSMR-WCRE-2014-SantosVA #analysis #clustering #semantics #using: Remodularization analysis using semantic clustering (GS, MTV, NA), pp. 224–233.
ICPC-2014-WenT #clustering #evaluation #product line: The MoJo family: a story about clustering evaluation (invited talk) (ZW, VT), p. 2.
ICSME-2014-Muske #analysis #bibliography #clustering: Improving Review of Clustered-Code Analysis Warnings (TM), pp. 569–572.
ICSME-2014-YamauchiYHHK #clustering #commit #comprehension #implementation: Clustering Commits for Understanding the Intents of Implementation (KY, JY, KH, YH, SK), pp. 406–410.
STOC-2014-KrishnaswamyNPS #approximate #clustering #design #energy #network #performance: Cluster before you hallucinate: approximating node-capacitated network design and energy efficient routing (RK, VN, KP, CS), pp. 734–743.
CSCW-2014-AndreKD #category theory #clustering #synthesis: Crowd synthesis: extracting categories and clusters from complex data (PA, AK, SPD), pp. 989–998.
HIMI-AS-2014-XingGLK #clustering: Decision Support Based on Time-Series Analytics: A Cluster Methodology (WX, RG, NL, TRK), pp. 217–225.
HIMI-DE-2014-BoscarioliVTR #clustering #human-computer #tool support: Analyzing HCI Issues in Data Clustering Tools (CB, JV, MFT, VHR), pp. 22–33.
HIMI-DE-2014-SugayaNT #clustering #recognition #using: Enhancement of Accuracy of Hand Shape Recognition Using Color Calibration by Clustering Scheme and Majority Voting Method (TS, HN, HT), pp. 251–260.
HIMI-DE-2014-ValdezSZH #clustering #network #research #scalability #social #visualisation: Enhancing Interdisciplinary Cooperation by Social Platforms — Assessing the Usefulness of Bibliometric Social Network Visualization in Large-Scale Research Clusters (ACV, AKS, MZ, AH), pp. 298–309.
ICEIS-v1-2014-AmorimC #clustering #evaluation: Paired Indices for Clustering Evaluation — Correction for Agreement by Chance (MJA, MGMSC), pp. 164–170.
ICEIS-v1-2014-HuangZZ #clustering #generative #multi: Multi-domain Schema Clustering and Hierarchical Mediated Schema Generation (QH, CZ, JZ), pp. 111–118.
ICEIS-v1-2014-SilvaLS #clustering #integration #maintenance #semantics: A Proposal to Maintain the Semantic Balance in Cluster-based Data Integration Systems (ERdS, BFL, ACS), pp. 90–98.
ICEIS-v2-2014-BorattoC #clustering #collaboration #recommendation #using: Using Collaborative Filtering to Overcome the Curse of Dimensionality when Clustering Users in a Group Recommender System (LB, SC), pp. 564–572.
CIKM-2014-ChatzistergiouV #clustering #data type #heuristic #performance: Fast Heuristics for Near-Optimal Task Allocation in Data Stream Processing over Clusters (AC, SDV), pp. 1579–1588.
CIKM-2014-Deolalikar14a #behaviour #clustering #modelling #parametricity #retrieval: Parameter Tuning with User Models: Influencing Aggregate User Behavior in Cluster Based Retrieval Systems (VD), pp. 1823–1826.
CIKM-2014-Deolalikar14b #clustering #documentation #what: What is the Shape of a Cluster?: Structural Comparisons of Document Clusters (VD), pp. 1927–1930.
CIKM-2014-HeiseKN #clustering: Estimating the Number and Sizes of Fuzzy-Duplicate Clusters (AH, GK, FN), pp. 959–968.
CIKM-2014-NguyenL #clustering #multi: Dynamic Clustering of Contextual Multi-Armed Bandits (TTN, HWL), pp. 1959–1962.
CIKM-2014-NtoutsiSRK #clustering #difference #quote #recommendation: “Strength Lies in Differences”: Diversifying Friends for Recommendations through Subspace Clustering (EN, KS, KR, HPK), pp. 729–738.
CIKM-2014-QianZ #clustering #feature model #multi #web: Unsupervised Feature Selection for Multi-View Clustering on Text-Image Web News Data (MQ, CZ), pp. 1963–1966.
CIKM-2014-ShiWLYW #clustering #network: Ranking-based Clustering on General Heterogeneous Information Networks by Network Projection (CS, RW, YL, PSY, BW), pp. 699–708.
CIKM-2014-VlachosFMKV #clustering #quality #recommendation: Improving Co-Cluster Quality with Application to Product Recommendations (MV, FF, CM, ATK, VGV), pp. 679–688.
CIKM-2014-XuLL #bibliography #clustering #collaboration #community: Collaborative Filtering Incorporating Review Text and Co-clusters of Hidden User Communities and Item Groups (YX, WL, TL), pp. 251–260.
CIKM-2014-YangLLLH #automation #clustering #detection #multi #social #using: Automatic Social Circle Detection Using Multi-View Clustering (YY, CL, XL, BL, JH), pp. 1019–1028.
CIKM-2014-ZhangXTW0 #clustering #framework #generative #named #wiki: WiiCluster: a Platform for Wikipedia Infobox Generation (KZ, YX, HT, HW, WW), pp. 2033–2035.
ECIR-2014-CamposDJN #clustering #interface #named #query: GTE-Cluster: A Temporal Search Interface for Implicit Temporal Queries (RC, GD, AMJ, CN), pp. 775–779.
ECIR-2014-FrommholzA #clustering #on the: On Clustering and Polyrepresentation (IF, MKA), pp. 618–623.
ECIR-2014-Kurland #clustering #information retrieval: The Cluster Hypothesis in Information Retrieval (OK), pp. 823–826.
ECIR-2014-LiangRR #clustering #documentation #microblog #semantics: The Impact of Semantic Document Expansion on Cluster-Based Fusion for Microblog Search (SL, ZR, MdR), pp. 493–499.
ECIR-2014-Moe #clustering: Improvements to Suffix Tree Clustering (REM), pp. 662–667.
ICML-c1-2014-GopalY #clustering #modelling: Von Mises-Fisher Clustering Models (SG, YY), pp. 154–162.
ICML-c1-2014-NguyenPNVB #clustering #multi #parametricity: Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts (TVN, DQP, XN, SV, HB), pp. 288–296.
ICML-c1-2014-SamdaniCR #clustering #online: A Discriminative Latent Variable Model for Online Clustering (RS, KWC, DR), pp. 1–9.
ICML-c1-2014-SteegGSD #clustering: Demystifying Information-Theoretic Clustering (GVS, AG, FS, SD), pp. 19–27.
ICML-c2-2014-AwasthiBV #algorithm #clustering #interactive: Local algorithms for interactive clustering (PA, MFB, KV), pp. 550–558.
ICML-c2-2014-Ben-DavidH #clustering: Clustering in the Presence of Background Noise (SBD, NH), pp. 280–288.
ICML-c2-2014-CarlssonMRS #clustering #network #symmetry: Hierarchical Quasi-Clustering Methods for Asymmetric Networks (GEC, FM, AR, SS), pp. 352–360.
ICML-c2-2014-ChenLX #clustering #graph #nondeterminism: Weighted Graph Clustering with Non-Uniform Uncertainties (YC, SHL, HX), pp. 1566–1574.
ICML-c2-2014-GentileLZ #clustering #online: Online Clustering of Bandits (CG, SL, GZ), pp. 757–765.
ICML-c2-2014-RomanoBNV #clustering #standard: Standardized Mutual Information for Clustering Comparisons: One Step Further in Adjustment for Chance (SR, JB, XVN, KV), pp. 1143–1151.
ICML-c2-2014-Yi0WJJ #algorithm #clustering: A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data (JY, LZ, JW, RJ, AKJ), pp. 658–666.
ICPR-2014-BauckhageM #analysis #clustering #kernel #web: Kernel Archetypal Analysis for Clustering Web Search Frequency Time Series (CB, KM), pp. 1544–1549.
ICPR-2014-BloomMA #clustering #online #recognition: Clustered Spatio-temporal Manifolds for Online Action Recognition (VB, DM, VA), pp. 3963–3968.
ICPR-2014-BruneauPO #algorithm #automation #clustering #heuristic: A Heuristic for the Automatic Parametrization of the Spectral Clustering Algorithm (PB, OP, BO), pp. 1313–1318.
ICPR-2014-Cardenas-PenaOCAC #3d #clustering #kernel #representation: A Kernel-Based Representation to Support 3D MRI Unsupervised Clustering (DCP, MOA, AECO, AMÁM, GCD), pp. 3203–3208.
ICPR-2014-ChakeriH #approach #clustering #framework #game studies #set: Dominant Sets as a Framework for Cluster Ensembles: An Evolutionary Game Theory Approach (AC, LOH), pp. 3457–3462.
ICPR-2014-ChamroukhiBG #clustering #parametricity: Bayesian Non-parametric Parsimonious Gaussian Mixture for Clustering (FC, MB, HG), pp. 1460–1465.
ICPR-2014-ChandrasekharTMLLL #clustering #graph #incremental #performance #retrieval #streaming #video: Incremental Graph Clustering for Efficient Retrieval from Streaming Egocentric Video Data (VC, CT, WM, LL, XL, JHL), pp. 2631–2636.
ICPR-2014-ChaudhariM #clustering #matrix #semistructured data #symmetry #using: Average Overlap for Clustering Incomplete Data Using Symmetric Non-negative Matrix Factorization (SC, MNM), pp. 1431–1436.
ICPR-2014-DeCannRC #clustering #on the: On Clustering Human Gait Patterns (BD, AR, MC), pp. 1794–1799.
ICPR-2014-DiotFJMM #clustering #graph: Unsupervised Tracking from Clustered Graph Patterns (FD, ÉF, BJ, EM, OM), pp. 3678–3683.
ICPR-2014-DumonceauxRG #algebra #approach #clustering: An Algebraic Approach to Ensemble Clustering (FD, GR, MG), pp. 1301–1306.
ICPR-2014-FahadTR #classification #clustering #process #recognition #smarttech #using: Activity Recognition in Smart Homes Using Clustering Based Classification (LGF, SFT, MR), pp. 1348–1353.
ICPR-2014-GuoZLCZ #clustering #kernel #learning #multi: Multiple Kernel Learning Based Multi-view Spectral Clustering (DG, JZ, XL, YC, CZ), pp. 3774–3779.
ICPR-2014-HasnatAT #clustering #image #using: Unsupervised Clustering of Depth Images Using Watson Mixture Model (MAH, OA, AT), pp. 214–219.
ICPR-2014-HouXCXQ #clustering #robust #set: Robust Clustering Based on Dominant Sets (JH, EX, LC, QX, NQ), pp. 1466–1471.
ICPR-2014-HuangHWW #clustering #network: Deep Embedding Network for Clustering (PH, YH, WW, LW), pp. 1532–1537.
ICPR-2014-IoannidisCL #clustering #modelling #multi #using: Key-Frame Extraction Using Weighted Multi-view Convex Mixture Models and Spectral Clustering (AI, VC, AL), pp. 3463–3468.
ICPR-2014-LefevreAG #clustering: Brain Lobes Revealed by Spectral Clustering (JL, GA, DG), pp. 562–567.
ICPR-2014-MarcaciniDHR #approach #clustering #documentation #learning #metric: Privileged Information for Hierarchical Document Clustering: A Metric Learning Approach (RMM, MAD, ERH, SOR), pp. 3636–3641.
ICPR-2014-Mishra0M #clustering #database #on the #validation: On Validation of Clustering Techniques for Bibliographic Databases (SM, SS, SM), pp. 3150–3155.
ICPR-2014-RazafindramananaRV #clustering #incremental: Incremental Delaunay Triangulation Construction for Clustering (OR, FR, GV), pp. 1354–1359.
ICPR-2014-RosaCJPFT #clustering #network #on the #using: On the Training of Artificial Neural Networks with Radial Basis Function Using Optimum-Path Forest Clustering (GHR, KAPC, LAPJ, JPP, AXF, JMRST), pp. 1472–1477.
ICPR-2014-TasdemirMY #approximate #clustering: Geodesic Based Similarities for Approximate Spectral Clustering (KT, YM, IY), pp. 1360–1364.
ICPR-2014-XiaPQ #clustering: Face Clustering in Photo Album (SYX, HP, AKQ), pp. 2844–2848.
ICPR-2014-YanRLSS #analysis #clustering #invariant #linear #multi #recognition: Clustered Multi-task Linear Discriminant Analysis for View Invariant Color-Depth Action Recognition (YY, ER, GL, RS, NS), pp. 3493–3498.
ICPR-2014-ZouYCDJ #clustering #correlation #topic #video: A Belief Based Correlated Topic Model for Trajectory Clustering in Crowded Video Scenes (JZ, QY, YC, DSD, JJ), pp. 2543–2548.
KDD-2014-BonchiGL #clustering #correlation #theory and practice: Correlation clustering: from theory to practice (FB, DGS, EL), p. 1972.
KDD-2014-ChierichettiDK #clustering #correlation #pipes and filters: Correlation clustering in MapReduce (FC, NND, RK), pp. 641–650.
KDD-2014-FuXGYZZ #clustering #dependence #ranking: Exploiting geographic dependencies for real estate appraisal: a mutual perspective of ranking and clustering (YF, HX, YG, ZY, YZ, ZHZ), pp. 1047–1056.
KDD-2014-GolshanLT #clustering: Profit-maximizing cluster hires (BG, TL, ET), pp. 1196–1205.
KDD-2014-GunnemannFRS #clustering #multi #named: SMVC: semi-supervised multi-view clustering in subspace projections (SG, IF, MR, TS), pp. 253–262.
KDD-2014-HeFKMP #category theory #clustering: Relevant overlapping subspace clusters on categorical data (XH, JF, BK, STM, CP), pp. 213–222.
KDD-2014-LinRRYRF #clustering #enterprise #scalability: Unveiling clusters of events for alert and incident management in large-scale enterprise it (DL, RR, VR, JY, RR, JF), pp. 1630–1639.
KDD-2014-NieWH #adaptation #clustering: Clustering and projected clustering with adaptive neighbors (FN, XW, HH), pp. 977–986.
KDD-2014-PerozziASM #clustering #detection #graph #scalability: Focused clustering and outlier detection in large attributed graphs (BP, LA, PIS, EM), pp. 1346–1355.
KDD-2014-RenLYKGWH #clustering #effectiveness #named #recommendation: ClusCite: effective citation recommendation by information network-based clustering (XR, JL, XY, UK, QG, LW, JH), pp. 821–830.
KDD-2014-RossCCD #clustering #process: Dual beta process priors for latent cluster discovery in chronic obstructive pulmonary disease (JCR, PJC, MHC, JGD), pp. 155–162.
KDD-2014-YinW #approach #clustering #modelling #multi: A dirichlet multinomial mixture model-based approach for short text clustering (JY, JW), pp. 233–242.
KDD-2014-ZufleESMZR #clustering #nondeterminism: Representative clustering of uncertain data (AZ, TE, KAS, NM, AZ, MR), pp. 243–252.
KDIR-2014-BigdeliMRM #clustering #summary: Arbitrary Shape Cluster Summarization with Gaussian Mixture Model (EB, MM, BR, SM), pp. 43–52.
KDIR-2014-JohnsonC #clustering #identification #network: Mathematical Foundations of Networks Supporting Cluster Identification (JEJ, JWC), pp. 277–285.
KDIR-2014-OliveiraBSC #automation #classification #clustering #twitter: Combining Clustering and Classification Approaches for Reducing the Effort of Automatic Tweets Classification (EO, HGB, MRS, PMC), pp. 465–472.
KMIS-2014-PascalT #clustering #experience #framework #information management #memory management: Transactive Memory System in Clusters — The Knowledge Management Platform Experience (AP, CT), pp. 5–14.
MLDM-2014-BaroutiKKM #clustering #data type #distributed #monitoring: Monitoring Distributed Data Streams through Node Clustering (MB, DK, JK, YM), pp. 149–162.
MLDM-2014-HassaniSS #adaptation #clustering #multi: Adaptive Multiple-Resolution Stream Clustering (MH, PS, TS), pp. 134–148.
MLDM-2014-JayabalR #clustering #modelling #performance #student: Clustering Students Based on Student’s Performance — A Partial Least Squares Path Modeling (PLS-PM) Study (YJ, CR), pp. 393–407.
MLDM-2014-Manzanilla-SalazarEG #classification #clustering #fault: Minimizing Cluster Errors in LP-Based Nonlinear Classification (OMS, JEK, UMGP), pp. 163–174.
SEKE-2014-BarnesL #analysis #clustering: Text-Based Clustering and Analysis of Intelligent Argumentation Data (ECB, XFL), pp. 422–425.
SEKE-2014-SalmanSD #clustering #feature model #information retrieval: Feature Location in a Collection of Product Variants: Combining Information Retrieval and Hierarchical Clustering (HES, AS, CD), pp. 426–430.
SIGIR-2014-AmigoGM #clustering #effectiveness #metric #retrieval: A general account of effectiveness metrics for information tasks: retrieval, filtering, and clustering (EA, JG, SM), p. 1289.
SIGIR-2014-MorenoDC #clustering #query #web: Query log driven web search results clustering (JGM, GD, GC), pp. 777–786.
SIGIR-2014-RaiberK14a #clustering #correlation #effectiveness #retrieval #testing: The correlation between cluster hypothesis tests and the effectiveness of cluster-based retrieval (FR, OK), pp. 1155–1158.
SIGIR-2014-RoitmanHS #approach #clustering: A fusion approach to cluster labeling (HR, SH, MSS), pp. 883–886.
SIGIR-2014-Sebastian #clustering #predict #semantics #using: Cluster links prediction for literature based discovery using latent structure and semantic features (YS), p. 1275.
AMT-2014-RentschlerWNHR #automation #clustering #legacy #model transformation: Remodularizing Legacy Model Transformations with Automatic Clustering Techniques (AR, DW, QN, LH, RR), pp. 4–13.
SAC-2014-AhmedWK #clustering #energy #named #performance: EENC — energy efficient nested clustering in UASN (SHA, AW, DK), pp. 706–710.
SAC-2014-BaeCPJKC #clustering #effectiveness #memory management: An effective data clustering method based on expected update time in flash memory environment (DHB, JWC, SMP, BSJ, SWK, SjC), pp. 1492–1497.
SAC-2014-BertoutFO #automation #clustering #heuristic #realtime #set: A heuristic to minimize the cardinality of a real-time task set by automated task clustering (AB, JF, RO), pp. 1431–1436.
SAC-2014-HuangYKYLYGFQ #analysis #clustering #self: Diffusion-based clustering analysis of coherent X-ray scattering patterns of self-assembled nanoparticles (HH, SY, KK, KGY, FL, DY, OG, AF, HQ), pp. 85–90.
SAC-2014-LeePKH #clustering: Per-cluster allocation of relocation staff on electric vehicle sharing systems (JL, GLP, JK, NH), pp. 1541–1542.
SAC-2014-LiW #clustering #matrix #multi: Single multiplicatively updated matrix factorization for co-clustering (ZL, XW), pp. 97–104.
SAC-2014-SeelandKK #clustering #graph: Structural clustering of millions of molecular graphs (MS, AK, SK), pp. 121–128.
SAC-2014-TinK #clustering #distributed #performance: Method for fast clustering of data distributed on a sphere surface (TT, SRK), pp. 1735–1736.
SAC-2014-XavierOPR #clustering #database #in the cloud #towards: Towards better manageability of database clusters on cloud computing platforms (MGX, ICDO, RDDP, CAFDR), pp. 366–367.
ASPLOS-2014-DelimitrouK #clustering #named: Quasar: resource-efficient and QoS-aware cluster management (CD, CK), pp. 127–144.
HPCA-2014-0001A #clustering #energy: Implications of high energy proportional servers on cluster-wide energy proportionality (DW, MA), pp. 142–153.
HPCA-2014-HeirmanCCHJE #architecture #clustering #thread: Undersubscribed threading on clustered cache architectures (WH, TEC, KVC, IH, AJ, LE), pp. 678–689.
HPCA-2014-PhamBEL #clustering: Increasing TLB reach by exploiting clustering in page translations (BP, AB, YE, GHL), pp. 558–567.
HPDC-2014-ChenWDZXJS #clustering #scheduling: Communication-driven scheduling for virtual clusters in cloud (HC, SW, SD, BBZ, ZX, HJ, XS), pp. 125–128.
HPDC-2014-El-HelwHB #clustering #manycore #named #pipes and filters: Glasswing: accelerating mapreduce on multi-core and many-core clusters (IEH, RFHH, HEB), pp. 295–298.
LCTES-2014-MartinsNDMC #clustering #compilation #optimisation #sequence #using: Exploration of compiler optimization sequences using clustering-based selection (LGAM, RN, ACBD, EM, JMPC), pp. 63–72.
OSDI-2014-VenkataramanPAFS #clustering #power of #scheduling: The Power of Choice in Data-Aware Cluster Scheduling (SV, AP, GA, MJF, IS), pp. 301–316.
PPoPP-2014-RodriguesJDH #algorithm #clustering #interface #named #programming: Triolet: a programming system that unifies algorithmic skeleton interfaces for high-performance cluster computing (CIR, TBJ, AD, WmWH), pp. 247–258.
ASE-2013-ScannielloGMM #clustering #fault #predict #using: Class level fault prediction using software clustering (GS, CG, AM, TM), pp. 640–645.
CASE-2013-DanishvarMSA #clustering #modelling #realtime: Event-clustering for real-time data modeling (MD, AM, PAMdS, RA), pp. 362–367.
CASE-2013-JinM #algorithm #clustering #constraints #scheduling #tool support: Transient scheduling of single armed cluster tools: Algorithms for wafer residency constraints (HYJ, JRM), pp. 856–861.
CASE-2013-KimLK #clustering #scheduling #tool support: Optimal scheduling of transient cycles for single-armed cluster tools (DKK, TEL, HJK), pp. 874–879.
CASE-2013-QiaoWZ #clustering #scheduling #tool support: Scheduling of time constrained dual-arm cluster tools with wafer revisiting (YQ, NW, MZ), pp. 868–873.
CASE-2013-ZhuWQZ #clustering #modelling #multi #petri net #scheduling #tool support: Petri net modeling and one-wafer scheduling of single-arm multi-cluster tools (QZ, NW, YQ, MZ), pp. 862–867.
DAC-2013-OnizawaG #clustering #network #power management #scalability: Low-power area-efficient large-scale IP lookup engine based on binary-weighted clustered networks (NO, WJG), p. 6.
DAC-2013-ZhangLSSR #automation #clustering: Automatic clustering of wafer spatial signatures (WZ, XL, SS, AJS, RAR), p. 6.
DATE-2013-BurgioTMB #clustering #fine-grained #memory management: Enabling fine-grained OpenMP tasking on tightly-coupled shared memory clusters (PB, GT, AM, LB), pp. 1504–1509.
DATE-2013-GiraoSW #clustering #policy: Exploring resource mapping policies for dynamic clustering on NoC-based MPSoCs (GG, TS, FRW), pp. 681–684.
DATE-2013-LiuLHCLL #clustering #effectiveness #linear #network #programming #prototype #statistics: Effective power network prototyping via statistical-based clustering and sequential linear programming (SYSL, CJL, CCH, HMC, CTL, CHL), pp. 1701–1706.
DATE-2013-RahimiMBGB #clustering: Variation-tolerant OpenMP tasking on tightly-coupled processor clusters (AR, AM, PB, RKG, LB), pp. 541–546.
DATE-2013-TodorovMRS #approach #clustering #synthesis: A spectral clustering approach to application-specific network-on-chip synthesis (VT, DMG, HR, US), pp. 1783–1788.
DocEng-2013-CarelCBO #clustering #documentation #image #segmentation: Dominant color segmentation of administrative document images by hierarchical clustering (EC, VC, JCB, JMO), pp. 115–118.
DocEng-2013-MarcaciniR #clustering #incremental: Incremental hierarchical text clustering with privileged information (RMM, SOR), pp. 231–232.
DocEng-2013-NourashrafeddinMA #clustering #documentation #interactive #using: Interactive text document clustering using feature labeling (SN, EEM, DVA), pp. 61–70.
DocEng-2013-YelogluMZ #clustering #concept #documentation #wiki: Beyond term clusters: assigning Wikipedia concepts to scientific documents (OY, EEM, ANZH), pp. 233–234.
DRR-2013-AriesON #algorithm #automation #classification #clustering #summary #using: Using clustering and a modified classification algorithm for automatic text summarization (AA, HO, ON).
ICDAR-2013-GarzFBI #approach #clustering: A Binarization-Free Clustering Approach to Segment Curved Text Lines in Historical Manuscripts (AG, AF, HB, RI), pp. 1290–1294.
ICDAR-2013-TatawRK #clustering #using: Clustering of Symbols Using Minimal Description Length (OMT, TR, EJK), pp. 180–184.
ICDAR-2013-WalhaDLGA #clustering #image #multi: Multiple Learned Dictionaries Based Clustered Sparse Coding for the Super-Resolution of Single Text Image (RW, FD, FL, CG, AMA), pp. 484–488.
SIGMOD-2013-SchaffnerJKKPFJ #clustering #database #in memory #named #robust: RTP: robust tenant placement for elastic in-memory database clusters (JS, TJ, MK, TK, HP, MJF, DJ), pp. 773–784.
VLDB-2013-AbbasogluGF #clustering: Aggregate Profile Clustering for Telco Analytics (MAA, BG, HF), pp. 1234–1237.
VLDB-2013-HuaiMLO0 #clustering #comprehension: Understanding Insights into the Basic Structure and Essential Issues of Table Placement Methods in Clusters (YH, SM, RL, OO, XZ), pp. 1750–1761.
ITiCSE-2013-Malan #clustering: From cluster to cloud to appliance (DJM), pp. 88–92.
CSMR-2013-CsabaSBJHG #clustering #metric #quality: Relating Clusterization Measures and Software Quality (BC, LS, ÁB, JJ, PH, TG), pp. 345–348.
ICPC-2013-MahmoudN #algorithm #clustering #comprehension: Evaluating software clustering algorithms in the context of program comprehension (AM, NN), pp. 162–171.
SCAM-2013-AnnervazKMSTM #clustering: Code clustering workbench (KMA, VSK, JM, SS, GT, AM), pp. 31–36.
SCAM-2013-BeszedesSCGJG #clustering #dependence #empirical: Empirical investigation of SEA-based dependence cluster properties (ÁB, LS, BC, TG, JJ, TG), pp. 1–10.
WCRE-2013-FryW #clustering #fault #maintenance #static analysis: Clustering static analysis defect reports to reduce maintenance costs (ZPF, WW), pp. 282–291.
CIAA-J-2012-Berlinkov13 #automaton #clustering: Synchronizing quasi-Eulerian and quasi-One-Cluster Automata (MVB), pp. 729–746.
ICALP-v1-2013-DinurG #clustering: Clustering in the Boolean Hypercube in a List Decoding Regime (ID, EG), pp. 413–424.
DHM-HB-2013-WangH13a #clustering #re-engineering: Model Reconstruction of Human Buttocks and the Shape Clustering (LW, XH), pp. 245–251.
HCI-III-2013-YangWC #clustering #fuzzy #image #kernel #segmentation #similarity: Kernel Fuzzy Similarity Measure-Based Spectral Clustering for Image Segmentation (YY, YW, YmC), pp. 246–253.
ICEIS-v1-2013-IsmailHQDE #clustering #evaluation #query #simulation #using: Clustering using Hypergraph for P2P Query Routing — Simulation and Evaluation (AI, MH, MQ, ND, MES), pp. 247–254.
CIKM-2013-Caruana #approximate #clustering #named #question: Clustering: probably approximately useless? (RC), pp. 1259–1260.
CIKM-2013-GilpinQD #clustering #dataset #performance #scalability: Efficient hierarchical clustering of large high dimensional datasets (SG, BQ, ID), pp. 1371–1380.
CIKM-2013-HachenbergG #classification #clustering #documentation #locality #scalability #web: Locality sensitive hashing for scalable structural classification and clustering of web documents (CH, TG), pp. 359–368.
CIKM-2013-LiHZW #clustering #mining: Mining entity attribute synonyms via compact clustering (YL, BJPH, CZ, KW), pp. 867–872.
CIKM-2013-MackoMS #clustering #graph: Local clustering in provenance graphs (PM, DWM, MIS), pp. 835–840.
CIKM-2013-QiuYJ #clustering #interactive #modelling: Modeling interaction features for debate side clustering (MQ, LY, JJ), pp. 873–878.
CIKM-2013-SchneiderV #clustering #performance #random: Fast parameterless density-based clustering via random projections (JS, MV), pp. 861–866.
CIKM-2013-YuanWJL #clustering #graph #performance #streaming: Efficient processing of streaming graphs for evolution-aware clustering (MY, KLW, GJS, YL), pp. 319–328.
ECIR-2013-MirkinS #clustering: Least Square Consensus Clustering: Criteria, Methods, Experiments (BGM, AS), pp. 764–767.
ECIR-2013-MorenoD #clustering #image #interface #mobile #using #web: Using Text-Based Web Image Search Results Clustering to Minimize Mobile Devices Wasted Space-Interface (JGM, GD), pp. 532–544.
ICML-c1-2013-BuhlerRSH #clustering #community #detection #set #source code: Constrained fractional set programs and their application in local clustering and community detection (TB, SSR, SS, MH), pp. 624–632.
ICML-c1-2013-WangX #clustering: Noisy Sparse Subspace Clustering (YXW, HX), pp. 89–97.
ICML-c2-2013-Rebagliati #clustering #fault #normalisation #strict: Strict Monotonicity of Sum of Squares Error and Normalized Cut in the Lattice of Clusterings (NR), pp. 163–171.
ICML-c2-2013-WulffUB #clustering: Monochromatic Bi-Clustering (SW, RU, SBD), pp. 145–153.
ICML-c3-2013-AilonCX #clustering #graph: Breaking the Small Cluster Barrier of Graph Clustering (NA, YC, HX), pp. 995–1003.
ICML-c3-2013-WangNH13a #clustering #learning #multi: Multi-View Clustering and Feature Learning via Structured Sparsity (HW, FN, HH), pp. 352–360.
ICML-c3-2013-YiZJQJ #clustering #matrix #similarity: Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion (JY, LZ, RJ, QQ, AKJ), pp. 1400–1408.
ICML-c3-2013-ZhuLM #algorithm #clustering: A Local Algorithm for Finding Well-Connected Clusters (ZAZ, SL, VSM), pp. 396–404.
KDD-2013-ChengZGWSW #clustering #flexibility #graph #multi #robust: Flexible and robust co-regularized multi-domain graph clustering (WC, XZ, ZG, YW, PFS, WW), pp. 320–328.
KDD-2013-ChenLYSY #clustering #optimisation #query: Query clustering based on bid landscape for sponsored search auction optimization (YC, WL, JY, AS, TWY), pp. 1150–1158.
KDD-2013-KuangP #clustering #documentation #matrix #performance: Fast rank-2 nonnegative matrix factorization for hierarchical document clustering (DK, HP), pp. 739–747.
KDD-2013-RaederPDSP #clustering #reduction #scalability #using: Scalable supervised dimensionality reduction using clustering (TR, CP, BD, OS, FJP), pp. 1213–1221.
KDD-2013-UganderKBK #clustering #graph #multi #network: Graph cluster randomization: network exposure to multiple universes (JU, BK, LB, JMK), pp. 329–337.
KDD-2013-WangDYWCSI #clustering #data mining #framework #identification #mining #towards: Towards long-lead forecasting of extreme flood events: a data mining framework for precipitation cluster precursors identification (DW, WD, KY, XW, PC, DLS, SI), pp. 1285–1293.
KDD-2013-ZhouL #clustering #network #social: Social influence based clustering of heterogeneous information networks (YZ, LL), pp. 338–346.
KDIR-KMIS-2013-CunhaFM #clustering #documentation #integration: Clustering and Classifying Text Documents — A Revisit to Tagging Integration Methods (EC, ÁF, ÓM), pp. 160–168.
KDIR-KMIS-2013-DuarteFD #clustering #constraints #using #validation: Data Clustering Validation using Constraints (JMMD, ALNF, FJFD), pp. 17–27.
KDIR-KMIS-2013-KolerovaOB #case study #clustering #industrial: Information and Knowledge Sharing in Industrial Clusters — Theoretical Background and a Case Study (KK, TO, VB), pp. 457–463.
KDIR-KMIS-2013-NcirE #clustering #on the #question: On the Extension of k-Means for Overlapping Clustering — Average or Sum of Clusters’ Representatives? (CEBN, NE), pp. 208–213.
KDIR-KMIS-2013-VensVB #clustering: Semi-supervised Clustering with Example Clusters (CV, BV, HB), pp. 45–51.
MLDM-2013-ParraL #clustering #dataset #using: Unsupervised Tagging of Spanish Lyrics Dataset Using Clustering (FLP, EL), pp. 130–143.
MLDM-2013-SappP #classification #clustering #predict: Accuracy-Based Classification EM: Combining Clustering with Prediction (SS, AP), pp. 458–465.
RecSys-2013-MirbakhshL #clustering #collaboration: Clustering-based factorized collaborative filtering (NM, CXL), pp. 315–318.
SIGIR-2013-CenDSO #adaptation #ambiguity #clustering: Author disambiguation by hierarchical agglomerative clustering with adaptive stopping criterion (LC, ECD, LS, MO), pp. 741–744.
SIGIR-2013-Kurland #clustering #information retrieval: The cluster hypothesis in information retrieval (OK), p. 1126.
SIGIR-2013-RaiberK #clustering #documentation #markov #random #ranking #using: Ranking document clusters using markov random fields (FR, OK), pp. 333–342.
SIGIR-2013-RavivKC #clustering: The cluster hypothesis for entity oriented search (HR, OK, DC), pp. 841–844.
REFSQ-2013-FerrariGT #clustering #documentation #natural language #requirements #using: Using Clustering to Improve the Structure of Natural Language Requirements Documents (AF, SG, GT), pp. 34–49.
SAC-2013-DietrichRP #clustering #detection #visual notation: Exploiting visual appearance to cluster and detect rogue software (CJD, CR, NP), pp. 1776–1783.
SAC-2013-KhaniHAB #algorithm #clustering #semistructured data #set: An algorithm for discovering clusters of different densities or shapes in noisy data sets (FK, MJH, AAA, HB), pp. 144–149.
SAC-2013-MottaLNRJO #algorithm #clustering #relational: Comparing relational and non-relational algorithms for clustering propositional data (RM, AdAL, BMN, SOR, AMJ, MCFdO), pp. 150–155.
SAC-2013-Serafino #clustering #composition #graph: Speeding up graph clustering via modular decomposition based compression (PS), pp. 156–163.
SAC-2013-SrivastavaSM #clustering #graph #using: Text clustering using one-mode projection of document-word bipartite graphs (AS, AJS, EEM), pp. 927–932.
ESEC-FSE-2013-SilicDS #clustering #predict #reliability #web #web service: Prediction of atomic web services reliability based on k-means clustering (MS, GD, SS), pp. 70–80.
HPDC-2013-BuRX #clustering #pipes and filters #scheduling: Interference and locality-aware task scheduling for MapReduce applications in virtual clusters (XB, JR, CZX), pp. 227–238.
HPDC-2013-ClaySM #clustering #interactive #scalability: Building and scaling virtual clusters with residual resources from interactive clouds (RBC, ZS, XM), pp. 119–120.
HPDC-2013-CostaDOR #3d #clustering #named #network #stack: CamCubeOS: a key-based network stack for 3D torus cluster topologies (PC, AD, GO, AITR), pp. 73–84.
HPDC-2013-SajjapongseWB #clustering #multi #runtime: A preemption-based runtime to efficiently schedule multi-process applications on heterogeneous clusters with GPUs (KS, XW, MB), pp. 179–190.
HPDC-2013-ZhangODJ #clustering #framework #implementation #manycore #named: Orthrus: a framework for implementing high-performance collective I/O in the multicore clusters (XZ, JO, KD, SJ), pp. 113–114.
LCTES-2013-PorpodasC #adaptation #clustering #named #scheduling: LUCAS: latency-adaptive unified cluster assignment and instruction scheduling (VP, MC), pp. 45–54.
ICST-2013-ArafeenD #clustering #testing #using: Test Case Prioritization Using Requirements-Based Clustering (MJA, HD), pp. 312–321.
CASE-2012-MatsumotoN #approach #clustering #composition #concurrent #petri net #scheduling #tool support: Petri net decomposition approach to deadlock-free scheduling for dual-armed cluster tools (IM, TN), pp. 194–199.
CASE-2012-ParkM #behaviour #bound #clustering #hybrid #linear #performance #tool support: Performance bounds for hybrid flow lines: Fundamental behavior, practical features and application to linear cluster tools (KP, JRM), pp. 371–376.
CASE-2012-QiaoWZ #analysis #clustering #petri net #scheduling #tool support: Petri net-based scheduling analysis of dual-arm cluster tools with wafer revisiting (YQ, NW, MZ), pp. 206–211.
CASE-2012-TonkeL #clustering #independence #scheduling: Scheduling of a dual-armed cluster tool with two independent robot arms (DT, TEL), pp. 200–205.
DAC-2012-TovinakereSD #clustering #estimation #logic: A semiempirical model for wakeup time estimation in power-gated logic clusters (VDT, OS, SD), pp. 48–55.
DATE-2012-AbellanPABBMB #clustering #communication #design #framework: Design of a collective communication infrastructure for barrier synchronization in cluster-based nanoscale MPSoCs (JLA, JFP, MEA, DB, DB, AM, LB), pp. 491–496.
DATE-2012-GaoWHZL #clustering #concurrent #debugging #manycore: A clustering-based scheme for concurrent trace in debugging NoC-based multicore systems (JG, JW, YH, LZ, XL), pp. 27–32.
DATE-2012-KakoeeLB #architecture #clustering #communication #latency: A resilient architecture for low latency communication in shared-L1 processor clusters (MRK, IL, LB), pp. 887–892.
DATE-2012-MarongiuBB #clustering #embedded #lightweight #parallel #performance: Fast and lightweight support for nested parallelism on cluster-based embedded many-cores (AM, PB, LB), pp. 105–110.
DocEng-2012-HuMBL #clustering #documentation #personalisation: Personalized document clustering with dual supervision (YH, EEM, JB, SL), pp. 161–170.
DRR-2012-ChandaFP #clustering #documentation #using: Clustering document fragments using background color and texture information (SC, KF, UP).
HT-2012-CravinoDF #clustering #community #network #using: Using the overlapping community structure of a network of tags to improve text clustering (NC, JLD, ÁF), pp. 239–244.
PODS-2012-XuT #clustering #on the: On the optimality of clustering properties of space filling curves (PX, ST), pp. 215–224.
SIGMOD-2012-IoriSPWH #clustering #monitoring #named: CloudAlloc: a monitoring and reservation system for compute clusters (EI, AS, TP, KW, SH), pp. 721–724.
SIGMOD-2012-KimPSLDC #clustering #distributed #named #performance #ram #scalability: CloudRAMSort: fast and efficient large-scale distributed RAM sort on shared-nothing cluster (CK, JP, NS, HL, PD, JC), pp. 841–850.
SIGMOD-2012-XuKWCC #approach #clustering #graph #modelling: A model-based approach to attributed graph clustering (ZX, YK, YW, HC, JC), pp. 505–516.
VLDB-2012-AgarwalRB #clustering #graph #identification #realtime: Real Time Discovery of Dense Clusters in Highly Dynamic Graphs: Identifying Real World Events in Highly Dynamic Environments (MKA, KR, MB), pp. 980–991.
VLDB-2012-GulloT #clustering #nondeterminism: Uncertain Centroid based Partitional Clustering of Uncertain Data (FG, AT), pp. 610–621.
VLDB-2012-LangHPST #clustering #database #design #energy #towards: Towards Energy-Efficient Database Cluster Design (WL, SH, JMP, MAS, DT), pp. 1684–1695.
VLDB-2012-Sahin #challenge #clustering #self: Challenges in Economic Massive Content Storage and Management (MCSAM) in the Era of Self-Organizing, Self-Expanding and Self-Linking Data Clusters (KES), p. 1698.
VLDB-2012-SunAH #clustering #network: Relation Strength-Aware Clustering of Heterogeneous Information Networks with Incomplete Attributes (YS, CCA, JH), pp. 394–405.
VLDB-2012-XuLGC #analysis #big data #clustering #in the cloud #interactive #named #visual notation: CloudVista: Interactive and Economical Visual Cluster Analysis for Big Data in the Cloud (HX, ZL, SG, KC), pp. 1886–1889.
ITiCSE-2012-Radenski #clustering #data-driven #in the cloud #multi: Integrating data-intensive cloud computing with multicores and clusters in an HPC course (AR), pp. 69–74.
CSMR-2012-BeszedesSG #clustering #development #framework #quality: Development of a Unified Software Quality Platform in the Szeged InfoPólus Cluster (ÁB, LS, TG), pp. 495–498.
ICSM-2012-KobayashiKKYM #clustering #composition #dependence #using: Feature-gathering dependency-based software clustering using Dedication and Modularity (KK, MK, KK, KY, AM), pp. 462–471.
SCAM-2012-SchrettnerJGBG #clustering #dependence #impact analysis #using: Impact Analysis in the Presence of Dependence Clusters Using Static Execute after in WebKit (LS, JJ, TG, ÁB, TG), pp. 24–33.
WCRE-2012-MisraAKST #clustering #semantics: Software Clustering: Unifying Syntactic and Semantic Features (JM, KMA, VSK, SS, GT), pp. 113–122.
ICALP-v1-2012-BalcanL #clustering: Clustering under Perturbation Resilience (MFB, YL), pp. 63–74.
ICALP-v2-2012-GugelmannPP #clustering #graph #random #sequence: Random Hyperbolic Graphs: Degree Sequence and Clustering — (Extended Abstract) (LG, KP, UP), pp. 573–585.
CAiSE-2012-BinderDDDFGGHHRRW #case study #clustering #experience #on the #process: On Analyzing Process Compliance in Skin Cancer Treatment: An Experience Report from the Evidence-Based Medical Compliance Cluster (EBMC2) (MB, WD, GD, RD, KAF, WG, WG, KH, MH, SRM, CR, SW), pp. 398–413.
ICEIS-v1-2012-CarvalhoBSR #clustering: Labeling Methods for Association Rule Clustering (VOdC, DSB, FFdS, SOR), pp. 105–111.
CIKM-2012-BodenGS #clustering #evolution #graph: Tracing clusters in evolving graphs with node attributes (BB, SG, TS), pp. 2331–2334.
CIKM-2012-ChengZPW #clustering: Hierarchical co-clustering based on entropy splitting (WC, XZ, FP, WW), pp. 1472–1476.
CIKM-2012-ChiangWD #clustering #network #normalisation #scalability #using: Scalable clustering of signed networks using balance normalized cut (KYC, JJW, ISD), pp. 615–624.
CIKM-2012-FanZCCO #clustering: Maximum margin clustering on evolutionary data (XF, LZ, LC, XC, YSO), pp. 625–634.
CIKM-2012-GaoZLH #clustering #recommendation #twitter: Twitter hyperlink recommendation with user-tweet-hyperlink three-way clustering (DG, RZ, WL, YH), pp. 2535–2538.
CIKM-2012-KurlandRS #clustering #predict #ranking: Query-performance prediction and cluster ranking: two sides of the same coin (OK, FR, AS), pp. 2459–2462.
CIKM-2012-LiBCH #clustering #learning #relational: Relational co-clustering via manifold ensemble learning (PL, JB, CC, ZH), pp. 1687–1691.
CIKM-2012-NguyenNMF #clustering #wiki: Clustering Wikipedia infoboxes to discover their types (THN, HDN, VM, JF), pp. 2134–2138.
CIKM-2012-RaiberK #clustering #retrieval #web: Exploring the cluster hypothesis, and cluster-based retrieval, over the web (FR, OK), pp. 2507–2510.
CIKM-2012-SteinGH #clustering: Search result presentation based on faceted clustering (BS, TG, DH), pp. 1940–1944.
CIKM-2012-VlachosWS #clustering: Right-protected data publishing with hierarchical clustering preservation (MV, AW, JS), pp. 654–663.
CIKM-2012-WangQD #automation #clustering #documentation #using: Improving document clustering using automated machine translation (XW, BQ, ID), pp. 645–653.
CIKM-2012-YamamotoSIYWT #clustering #mining #query: The wisdom of advertisers: mining subgoals via query clustering (TY, TS, MI, CY, JRW, KT), pp. 505–514.
CIKM-2012-YanGLCW #clustering #matrix #using: Clustering short text using Ncut-weighted non-negative matrix factorization (XY, JG, SL, XC, YW), pp. 2259–2262.
ECIR-2012-GalleR #clustering: Full and Mini-batch Clustering of News Articles with Star-EM (MG, JMR), pp. 494–498.
ECIR-2012-ParaparB #clustering #constraints #modelling: Language Modelling of Constraints for Text Clustering (JP, AB), pp. 352–363.
ECIR-2012-TholpadiDBS #clustering #corpus #multi #using: Cluster Labeling for Multilingual Scatter/Gather Using Comparable Corpora (GT, MKD, CB, SKS), pp. 388–400.
ICML-2012-DavisCBPPC #clustering #predict #relational: Demand-Driven Clustering in Relational Domains for Predicting Adverse Drug Events (JD, VSC, EB, DP, PLP, MC), p. 172.
ICML-2012-HaiderS #clustering #graph #using: Finding Botnets Using Minimal Graph Clusterings (PH, TS), p. 37.
ICML-2012-JalaliS12a #clustering #optimisation #using: Clustering using Max-norm Constrained Optimization (AJ, NS), p. 205.
ICML-2012-KrishnamurthyBXS #algorithm #clustering #performance: Efficient Active Algorithms for Hierarchical Clustering (AK, SB, MX, AS), p. 39.
ICML-2012-LiLJX #clustering #re-engineering: Groupwise Constrained Reconstruction for Subspace Clustering (RL, BL, CJ, XX), p. 25.
ICML-2012-ReyR #clustering: Copula Mixture Model for Dependency-seeking Clustering (MR, VR), p. 40.
ICML-2012-ShiS #adaptation #clustering #learning: Information-Theoretical Learning of Discriminative Clusters for Unsupervised Domain Adaptation (YS, FS), p. 166.
ICML-2012-TelgarskyD #clustering: Agglomerative Bregman Clustering (MT, SD), p. 132.
ICML-2012-VaroquauxGT #clustering #correlation #design: Small-sample brain mapping: sparse recovery on spatially correlated designs with randomization and clustering (GV, AG, BT), p. 178.
ICML-2012-WangC12a #clustering: Clustering to Maximize the Ratio of Split to Diameter (JW, JC), p. 74.
ICML-2012-WulsinJL #clustering #modelling #multi #process: A Hierarchical Dirichlet Process Model with Multiple Levels of Clustering for Human EEG Seizure Modeling (DW, SJ, BL), p. 67.
ICML-2012-XiangMCCTZ #clustering #framework: A Split-Merge Framework for Comparing Clusterings (QX, QM, KMAC, HLC, IWT, ZZ), p. 164.
ICML-2012-YangO #clustering #composition #matrix #probability #rank: Clustering by Low-Rank Doubly Stochastic Matrix Decomposition (ZY, EO), p. 94.
ICML-2012-ZhongK #clustering #flexibility #learning #multi: Convex Multitask Learning with Flexible Task Clusters (WZ, JTYK), p. 66.
ICPR-2012-AmornbunchornvejLAIT #algorithm #clustering: Iterative Neighbor-Joining tree clustering algorithm for genotypic data (CA, TL, AA, AI, ST), pp. 1827–1830.
ICPR-2012-AyechZ #clustering #feature model #image #modelling #segmentation #statistics: Terahertz image segmentation based on K-harmonic-means clustering and statistical feature extraction modeling (MWA, DZ), pp. 222–225.
ICPR-2012-BaiHHR #clustering #complexity #graph #using: Graph clustering using graph entropy complexity traces (LB, ERH, LH, PR), pp. 2881–2884.
ICPR-2012-BakrYI #clustering #documentation #incremental #performance: Efficient incremental phrase-based document clustering (AMB, NAY, MAI), pp. 517–520.
ICPR-2012-BenJY #analysis #automation #clustering #fuzzy: Automatic fuzzy clustering based on mistake analysis (SB, ZJ, JY), pp. 2914–2917.
ICPR-2012-BoomHHF #clustering #dataset #image #using: Supporting ground-truth annotation of image datasets using clustering (BJB, PXH, JH, RBF), pp. 1542–1545.
ICPR-2012-CaoCZL #clustering #query: Locating high-density clusters with noisy queries (CC, SC, CZ, JL), pp. 3537–3540.
ICPR-2012-ChenWY #clustering #dataset #graph: Centroid-based clustering for graph datasets (LC, SW, XY), pp. 2144–2147.
ICPR-2012-FausserS #clustering #dataset #kernel #scalability: Clustering large datasets with kernel methods (SF, FS), pp. 501–504.
ICPR-2012-Gao12a #clustering #estimation #multi #using: Facial age estimation using Clustered Multi-task Support Vector Regression Machine (PXG), pp. 541–544.
ICPR-2012-GiotCD #clustering: Local water diffusion phenomenon clustering from high angular resolution diffusion imaging (HARDI) (RG, CC, MD), pp. 3745–3749.
ICPR-2012-HuangLC #clustering #feature model #kernel #multi #self: Cluster-dependent feature selection by multiple kernel self-organizing map (KCH, YYL, JZC), pp. 589–592.
ICPR-2012-HuangLW #clustering #detection #incremental: Incremental support vector clustering with outlier detection (DH, JHL, CDW), pp. 2339–2342.
ICPR-2012-HuynhL #clustering #crowdsourcing: Connecting the dots: Triadic clustering of crowdsourced data to map dirt roads (AH, AL), pp. 3766–3769.
ICPR-2012-HuZFZ #clustering #multi #strict: Multi-way constrained spectral clustering by nonnegative restriction (HH, JZ, JF, JZ), pp. 1550–1553.
ICPR-2012-JiangLLL #clustering #collaboration #multi: Collaborative PLSA for multi-view clustering (YJ, JL, ZL, HL), pp. 2997–3000.
ICPR-2012-JiS #clustering #robust #segmentation: Robust motion segmentation via refined sparse subspace clustering (HJ, FS), pp. 1546–1549.
ICPR-2012-KafaiBA #classification #clustering #estimation #network: Cluster-Classification Bayesian Networks for head pose estimation (MK, BB, LA), pp. 2869–2872.
ICPR-2012-KiwanukaW #clustering: Cluster-based vector-attribute filtering for CT and MRI enhancement (FNK, MHFW), pp. 3112–3115.
ICPR-2012-KongW #clustering #learning #multi: A multi-task learning strategy for unsupervised clustering via explicitly separating the commonality (SK, DW), pp. 771–774.
ICPR-2012-KongW12a #clustering: Transfer heterogeneous unlabeled data for unsupervised clustering (SK, DW), pp. 1193–1196.
ICPR-2012-LiVBB #clustering #learning #using: Feature learning using Generalized Extreme Value distribution based K-means clustering (ZL, OV, HB, RB), pp. 1538–1541.
ICPR-2012-MarcaciniCR #approach #clustering #learning: An active learning approach to frequent itemset-based text clustering (RMM, GNC, SOR), pp. 3529–3532.
ICPR-2012-MitraKGSMLOVM #clustering #multimodal #performance: Spectral clustering to model deformations for fast multimodal prostate registration (JM, ZK, SG, DS, RM, XL, AO, JCV, FM), pp. 2622–2625.
ICPR-2012-SchleifZGH #approximate #clustering #kernel #performance #relational: Fast approximated relational and kernel clustering (FMS, XZ, AG, BH), pp. 1229–1232.
ICPR-2012-UlmB #clustering #online #robust: Robust online trajectory clustering without computing trajectory distances (MU, NB), pp. 2270–2273.
ICPR-2012-VieuxD #classification #clustering #documentation #image: Hierarchical clustering model for pixel-based classification of document images (RV, JPD), pp. 290–293.
ICPR-2012-XieLH #clustering #matrix #multi: Multi-task co-clustering via nonnegative matrix factorization (SX, HL, YH), pp. 2954–2958.
ICPR-2012-YangGAZW #classification #clustering #query: Iterative clustering and support vectors-based high-confidence query selection for motor imagery EEG signals classification (HY, CG, KKA, HZ, CW), pp. 2169–2172.
ICPR-2012-ZhangLM12a #adaptation #automation #clustering #detection #fault: An adaptive unsupervised clustering of pronunciation errors for automatic pronunciation error detection (LZ, HL, LM), pp. 1521–1525.
ICPR-2012-ZhangYCLZ #clustering #segmentation #video: Video object segmentation by clustering region trajectories (GZ, ZY, DC, YL, NZ), pp. 2598–2601.
ICPR-2012-ZhaoRCF #automation #categorisation #clustering #keyword: Keyword clustering for automatic categorization (QZ, MR, HC, PF), pp. 2845–2848.
KDD-2012-BonchiGGU #clustering #correlation: Chromatic correlation clustering (FB, AG, FG, AU), pp. 1321–1329.
KDD-2012-CorreaL #clustering #graph #using: Locally-scaled spectral clustering using empty region graphs (CDC, PL), pp. 1330–1338.
KDD-2012-Davidson #clustering #comprehension #constraints: Two approaches to understanding when constraints help clustering (ID), pp. 1312–1320.
KDD-2012-GunnemannFS #clustering #modelling #multi #using: Multi-view clustering using mixture models in subspace projections (SG, IF, TS), pp. 132–140.
KDD-2012-GunnemannFVS #clustering #correlation: Subspace correlation clustering: finding locally correlated dimensions in subspace projections of the data (SG, IF, KV, TS), pp. 352–360.
KDD-2012-HaiderCB #clustering #segmentation: Discriminative clustering for market segmentation (PH, LC, UB), pp. 417–425.
KDD-2012-HiraiY #clustering #detection #normalisation #using: Detecting changes of clustering structures using normalized maximum likelihood coding (SH, KY), pp. 343–351.
KDD-2012-JiZL #clustering: A sparsity-inducing formulation for evolutionary co-clustering (SJ, WZ, JL), pp. 334–342.
KDD-2012-LiuA #clustering #data flow #web: Stratified k-means clustering over a deep web data source (TL, GA), pp. 1113–1121.
KDD-2012-OlteanuS #clustering #correlation #energy #named #network #nondeterminism #predict: DAGger: clustering correlated uncertain data (to predict asset failure in energy networks) (DO, SJvS), pp. 1504–1507.
KDD-2012-Plant #clustering #dependence #metric: Dependency clustering across measurement scales (CP), pp. 361–369.
KDD-2012-SeelandKK #clustering #graph #kernel #learning: A structural cluster kernel for learning on graphs (MS, AK, SK), pp. 516–524.
KDD-2012-SunNHYYY #clustering #network: Integrating meta-path selection with user-guided object clustering in heterogeneous information networks (YS, BN, JH, XY, PSY, XY), pp. 1348–1356.
KDD-2012-WauthierJJ #clustering #nondeterminism #reduction: Active spectral clustering via iterative uncertainty reduction (FLW, NJ, MIJ), pp. 1339–1347.
KDIR-2012-AbdullinN #clustering #data type #framework #learning: A Semi-supervised Learning Framework to Cluster Mixed Data Types (AA, ON), pp. 45–54.
KDIR-2012-ArbelaitzGLMPP #adaptation #clustering #mining #navigation #profiling #using: Adaptation of the User Navigation Scheme using Clustering and Frequent Pattern Mining Techiques for Profiling (OA, IG, AL, JM, JMP, IP), pp. 187–192.
KDIR-2012-DuarteFD #clustering #constraints #using: Evidence Accumulation Clustering using Pairwise Constraints (JMMD, ALNF, FJFD), pp. 293–299.
KDIR-2012-VolkovichA #clustering: Model Selection and Stability in Spectral Clustering (ZV, RA), pp. 25–34.
KEOD-2012-LuC #clustering #documentation #order #recommendation: Bringing Order to Legal Documents — An Issue-based Recommendation System Via Cluster Association (QL, JGC), pp. 76–88.
KEOD-2012-MykowieckaM #clustering: Clustering of Medical Terms based on Morpho-syntactic Features (AM, MM), pp. 214–219.
MLDM-2012-EbrahimiA #approach #clustering: Semi Supervised Clustering: A Pareto Approach (JE, MSA), pp. 237–251.
MLDM-2012-IsakssonDH #clustering #data type #named: SOStream: Self Organizing Density-Based Clustering over Data Stream (CI, MHD, MH), pp. 264–278.
MLDM-2012-MondalPMMB #approach #clustering #concept analysis #mining #using: A New Approach for Association Rule Mining and Bi-clustering Using Formal Concept Analysis (KCM, NP, AM, UM, SB), pp. 86–101.
MLDM-2012-PaliwalP #clustering #documentation #segmentation: Investigating Usage of Text Segmentation and Inter-passage Similarities to Improve Text Document Clustering (SP, VP), pp. 555–565.
MLDM-2012-SilvaA #case study #clustering: Semi-supervised Clustering: A Case Study (AS, CA), pp. 252–263.
MLDM-2012-TaTB #approach #clustering #data type #using: Clustering Data Stream by a Sub-window Approach Using DCA (MTT, LTHA, LBA), pp. 279–292.
MLDM-2012-VlaseMI #clustering #metadata #using: Improvement of K-means Clustering Using Patents Metadata (MV, DM, AI), pp. 293–305.
SEKE-2012-MiaoCLZZ #clustering #correctness #fault #identification #locality #testing: Identifying Coincidental Correctness for Fault Localization by Clustering Test Cases (YM, ZC, SL, ZZ, YZ), pp. 267–272.
SEKE-2012-XiePDMRTR #categorisation #clustering #grid #power management: Progressive Clustering with Learned Seeds: An Event Categorization System for Power Grid (BX, RJP, HD, JYM, AR, AT, CR), pp. 100–105.
SIGIR-2012-LipkaSA #classification #clustering #information retrieval #problem: Cluster-based one-class ensemble for classification problems in information retrieval (NL, BS, MA), pp. 1041–1042.
RE-2012-NiuM #clustering #generative #requirements #revisited: Enhancing candidate link generation for requirements tracing: The cluster hypothesis revisited (NN, AM), pp. 81–90.
RE-2012-ReddivariCN #clustering #named #requirements #visual notation: ReCVisu: A tool for clustering-based visual exploration of requirements (SR, ZC, NN), pp. 327–328.
SAC-2012-CentenoA #algorithm #approach #clustering #image: Clustering approach algorithm for image interpolation (TMC, MTA), pp. 56–57.
SAC-2012-FariaBGC #algorithm #clustering #data type: Improving the offline clustering stage of data stream algorithms in scenarios with variable number of clusters (ERF, RCB, JG, ACPLFC), pp. 829–830.
SAC-2012-FerrariGT #approach #clustering #requirements #specification: A clustering-based approach for discovering flaws in requirements specifications (AF, SG, GT), pp. 1043–1050.
SAC-2012-GuccioneCAMM #clustering #network: Trend cluster based interpolation everywhere in a sensor network (PG, AC, AA, DM, AM), pp. 827–828.
SAC-2012-HuMB #clustering #documentation: Semi-supervised document clustering with dual supervision through seeding (YH, EEM, JB), pp. 144–151.
SAC-2012-HuMB12a #clustering #documentation: Enhancing semi-supervised document clustering with feature supervision (YH, EEM, JB), pp. 929–936.
SAC-2012-KamieHK #clustering #effectiveness #using #video #web: Effective web video clustering using playlist information (MK, TH, HK), pp. 949–956.
SAC-2012-MakanjuZML #clustering #composition #detection #identification: Spatio-temporal decomposition, clustering and identification for alert detection in system logs (AM, ANZH, EEM, ML), pp. 621–628.
SAC-2012-NogueiraJR #clustering: Hierarchical confidence-based active clustering (BMN, AMJ, SOR), pp. 216–219.
FSE-2012-ChandramohanTS #behaviour #clustering #modelling #scalability: Scalable malware clustering through coarse-grained behavior modeling (MC, HBKT, LKS), p. 27.
FSE-2012-DiGiuseppeJ12a #clustering #concept: Concept-based failure clustering (ND, JAJ), p. 29.
ICSE-2012-DangWZZN #clustering #named #similarity #stack: ReBucket: A method for clustering duplicate crash reports based on call stack similarity (YD, RW, HZ, DZ, PN), pp. 1084–1093.
ICSE-2012-NistorLPGM #automation #clustering #generative #named #parallel #performance #random #testing #thread: Ballerina: Automatic generation and clustering of efficient random unit tests for multithreaded code (AN, QL, MP, TRG, DM), pp. 727–737.
ASPLOS-2012-AhmadCRV #clustering #named #optimisation #pipes and filters: Tarazu: optimizing MapReduce on heterogeneous clusters (FA, STC, AR, TNV), pp. 61–74.
CGO-2012-KimJLMA #automation #clustering: Automatic speculative DOALL for clusters (HK, NPJ, JWL, SAM, DIA), pp. 94–103.
CGO-2012-ZhangM #3d #clustering #gpu: Auto-generation and auto-tuning of 3D stencil codes on GPU clusters (YZ, FM), pp. 155–164.
HPDC-2012-BecchiSGPRC #clustering #memory management #multitenancy #runtime: A virtual memory based runtime to support multi-tenancy in clusters with GPUs (MB, KS, IG, AMP, VTR, STC), pp. 97–108.
HPDC-2012-HefeedaGA #approximate #clustering #dataset #distributed #scalability: Distributed approximate spectral clustering for large-scale datasets (MH, FG, WAA), pp. 223–234.
HPDC-2012-PhullLRCC #clustering #resource management: Interference-driven resource management for GPU-based heterogeneous clusters (RP, CHL, KR, SC, STC), pp. 109–120.
LCTES-2012-HuangZX #architecture #clustering #embedded #realtime: WCET-aware re-scheduling register allocation for real-time embedded systems with clustered VLIW architecture (YH, MZ, CJX), pp. 31–40.
PPoPP-2012-KimSLNJL #clustering #cpu #gpu #programming: OpenCL as a unified programming model for heterogeneous CPU/GPU clusters (JK, SS, JL, JN, GJ, JL), pp. 299–300.
PPoPP-2012-KwonJEM #approach #clustering #hybrid: A hybrid approach of OpenMP for clusters (OK, FJ, RE, SPM), pp. 75–84.
ICST-2012-DiGiuseppeJ #behaviour #clustering #empirical #fault: Software Behavior and Failure Clustering: An Empirical Study of Fault Causality (ND, JAJ), pp. 191–200.
ICST-2012-GuoSC #analysis #clustering #testing: Analysis of Test Clusters for Regression Testing (BG, MS, PC), p. 736.
SAT-2012-BurgKK #clustering #re-engineering #satisfiability: Creating Industrial-Like SAT Instances by Clustering and Reconstruction — (Poster Presentation) (SB, SK, MK), pp. 471–472.
VMCAI-2012-LeeLY #clustering #static analysis #statistics: Sound Non-statistical Clustering of Static Analysis Alarms (WL, WL, KY), pp. 299–314.
QoSA-ISARCS-2011-DettenB #clustering #component #detection #re-engineering: Combining clustering and pattern detection for the reengineering of component-based software systems (MvD, SB), pp. 23–32.
ASE-2011-SagdeoAKV #clustering #invariant #named #using: PRECIS: Inferring invariants using program path guided clustering (PS, VA, SK, SV), pp. 532–535.
CASE-2011-BoemPFP #clustering #distance #multi #using: Multi-feature trajectory clustering using Earth Mover’s Distance (FB, FAP, GF, TP), pp. 310–315.
CASE-2011-KimL #clustering #constraints #scheduling #tool support: Scheduling of cluster tools with ready time constraints for small lot production (HJK, TEL), pp. 96–101.
CASE-2011-LeeL #clustering #concurrent #multi: Concurrent processing of multiple wafer types in a single-armed cluster tool (JHL, TEL), pp. 102–107.
CASE-2011-QiaoWZ #analysis #clustering #modelling #tool support: Modeling and analysis of dual-arm cluster tools for wafer fabrication with revisiting (YQ, NW, MZ), pp. 90–95.
DAC-2011-Pomeranz #clustering #fault: Diagnosis of transition fault clusters (IP), pp. 429–434.
DAC-2011-RajavelA #clustering #named: MO-pack: many-objective clustering for FPGA CAD (STR, AA), pp. 818–823.
DATE-2011-FalkZHT #algorithm #clustering #data flow #embedded #performance #rule-based #synthesis: A rule-based static dataflow clustering algorithm for efficient embedded software synthesis (JF, CZ, CH, JT), pp. 521–526.
DATE-2011-KolpeZS #clustering #manycore #power management: Enabling improved power management in multicore processors through clustered DVFS (TK, AZ, SSS), pp. 293–298.
DATE-2011-KongYD #clustering #energy #multi #realtime #scheduling: Energy-efficient scheduling of real-time tasks on cluster-based multicores (FK, WY, QD), pp. 1135–1140.
DATE-2011-RahimiLKB #clustering #network: A fully-synthesizable single-cycle interconnection network for Shared-L1 processor clusters (AR, IL, MRK, LB), pp. 491–496.
ICDAR-2011-HamamuraINOS #clustering #concurrent #optimisation #recognition #using #word: Concurrent Optimization of Context Clustering and GMM for Offline Handwritten Word Recognition Using HMM (TH, BI, TN, NO, SS), pp. 523–527.
ICDAR-2011-LiuZLL #clustering #image #locality: A Chinese Character Localization Method Based on Intergrating Structure and CC-Clustering for Advertising Images (JL, SZ, HL, WL), pp. 1044–1048.
ICDAR-2011-LuLLZG #clustering #multi #web: Web Multimedia Object Clustering via Information Fusion (WL, LL, TL, HZ, JG), pp. 319–323.
ICDAR-2011-ManoharVCPN #clustering #graph #segmentation: Graph Clustering-Based Ensemble Method for Handwritten Text Line Segmentation (VM, SNPV, HC, RP, PN), pp. 574–578.
ICDAR-2011-SpasojevicP #clustering #scalability #similarity: Large Scale Page-Based Book Similarity Clustering (NS, GP), pp. 119–125.
ICDAR-2011-WakaharaK #clustering #image #string #using: Binarization of Color Character Strings in Scene Images Using K-Means Clustering and Support Vector Machines (TW, KK), pp. 274–278.
ICDAR-2011-XiaWL #clustering #keyword #knowledge-based #using: Chinese Keyword Spotting Using Knowledge-Based Clustering (YX, KW, ML), pp. 789–793.
SIGMOD-2011-GulloDT #clustering: Advancing data clustering via projective clustering ensembles (FG, CD, AT), pp. 733–744.
SIGMOD-2011-SatuluriPR #clustering #graph #scalability: Local graph sparsification for scalable clustering (VS, SP, YR), pp. 721–732.
SIGMOD-2011-SchallH #clustering #energy #named: WattDB: an energy-proportional cluster of wimpy nodes (DS, VH), pp. 1229–1232.
VLDB-2011-KantereBS #clustering #named: GrouPeer: A System for Clustering PDMSs (VK, DB, TKS), pp. 1371–1374.
VLDB-2011-LiuNC #clustering #query: Query Expansion Based on Clustered Results (ZL, SN, YC), pp. 350–361.
VLDB-2012-YangRW11 #clustering #streaming #summary: Summarization and Matching of Density-Based Clusters in Streaming Environments (DY, EAR, MOW), pp. 121–132.
CSMR-2011-CorazzaMMS #clustering: Investigating the Use of Lexical Information for Software System Clustering (AC, SDM, VM, GS), pp. 35–44.
CSMR-2011-NaseemMM #clustering #metric #similarity: Improved Similarity Measures for Software Clustering (RN, OM, SM), pp. 45–54.
CSMR-2011-SiddiqueM #clustering: Analyzing Term Weighting Schemes for Labeling Software Clusters (FS, OM), pp. 85–88.
ICPC-2011-ScannielloM #clustering #concept #source code: Clustering Support for Static Concept Location in Source Code (GS, AM), pp. 1–10.
ICSM-2011-CarlsonDD #approach #case study #clustering #industrial #testing: A clustering approach to improving test case prioritization: An industrial case study (RC, HD, AD), pp. 382–391.
ICSM-2011-LeeK #clustering #recommendation: Clustering and recommending collections of code relevant to tasks (SL, SK), pp. 536–539.
ICSM-2011-RomanoSRG #clustering #design pattern #source code: Clustering and lexical information support for the recovery of design pattern in source code (SR, GS, MR, CG), pp. 500–503.
ICSM-2011-ShternT #clustering #multi #using: Evaluating software clustering using multiple simulated authoritative decompositions (MS, VT), pp. 353–361.
WCRE-2011-FuhrHR #clustering #dynamic analysis #implementation #legacy #reuse #using: Using Dynamic Analysis and Clustering for Implementing Services by Reusing Legacy Code (AF, TH, VR), pp. 275–279.
WCRE-2011-TanPPZ #clustering #fault #predict #quality: Assessing Software Quality by Program Clustering and Defect Prediction (XT, XP, SP, WZ), pp. 244–248.
STOC-2011-FeldmanL #approximate #clustering #framework: A unified framework for approximating and clustering data (DF, ML), pp. 569–578.
STOC-2011-IndykP #clustering #distance #modelling: K-median clustering, model-based compressive sensing, and sparse recovery for earth mover distance (PI, EP), pp. 627–636.
DLT-J-2009-BealBP11 #automaton #bound #clustering #polynomial #word: A Quadratic Upper Bound on the Size of a Synchronizing Word in One-Cluster Automata (MPB, MVB, DP), pp. 277–288.
ICALP-v1-2011-DingX #clustering #problem: Solving the Chromatic Cone Clustering Problem via Minimum Spanning Sphere (HD, JX), pp. 773–784.
ICALP-v1-2011-LokshtanovM #clustering #strict: Clustering with Local Restrictions (DL, DM), pp. 785–797.
ICALP-v1-2011-Nonner #clique #clustering #graph: Clique Clustering Yields a PTAS for max-Coloring Interval Graphs (TN), pp. 183–194.
DUXU-v2-2011-Nakata #analysis #clustering #monitoring #usability: Clustering Analysis to Evaluate Usability of Work-Flow Systems and to Monitor Proficiency of Workers (TN), pp. 487–496.
HCI-DDA-2011-LuoY #algorithm #clustering #framework #network #novel #parallel #using: A Novel Parallel Clustering Algorithm Based on Artificial Immune Network Using nVidia CUDA Framework (RL, QY), pp. 598–607.
HCI-MIIE-2011-KimPCJ #clustering #effectiveness #traversal: The Effective IVIS Menu and Control Type of an Instrumental Gauge Cluster and Steering Wheel Remote Control with a Menu Traversal (SMK, JP, JC, ESJ), pp. 401–410.
ICEIS-J-2011-ChaoC11a #clustering #data type #resource management #ubiquitous: Ubiquitous Resource-Aware Clustering of Data Streams (CMC, GLC), pp. 81–97.
ICEIS-J-2011-MasadaTSO #clustering #documentation #string: Clustering Documents with Maximal Substrings (TM, AT, YS, KO), pp. 19–34.
ICEIS-v1-2011-CarvalhoSR #clustering #metric: Post-processing Association Association Rules with Clustering and Objective Measures (VOdC, FFdS, SOR), pp. 54–63.
ICEIS-v1-2011-ChaoC #clustering #data type #quality #resource management #ubiquitous: Resource-aware High Quality Clustering in Ubiquitous Data Streams (CMC, GLC), pp. 64–73.
ICEIS-v1-2011-MasadaSO #clustering #documentation #feature model #string: Documents as a Bag of Maximal Substrings — An Unsupervised Feature Extraction for Document Clustering (TM, YS, KO), pp. 5–13.
ICEIS-v1-2011-RafeaSA #clustering #network #social: Label Oriented Clustering for Social Network Discussion Groups (AR, AEKS, SGA), pp. 205–210.
CIKM-2011-AielloDOM #behaviour #clustering #query #topic: Behavior-driven clustering of queries into topics (LMA, DD, UO, FM), pp. 1373–1382.
CIKM-2011-AnastasiuGB #clustering #collaboration #framework #personalisation: A framework for personalized and collaborative clustering of search results (DCA, BJG, DB), pp. 573–582.
CIKM-2011-CostantiniN #clustering #image: Image clustering fusion technique based on BFS (LC, RN), pp. 2093–2096.
CIKM-2011-DangXC #aspect-oriented #clustering #query #using: Inferring query aspects from reformulations using clustering (VD, XX, WBC), pp. 2117–2120.
CIKM-2011-GunnemannFMAS #clustering #evaluation #metric: External evaluation measures for subspace clustering (SG, IF, EM, IA, TS), pp. 1363–1372.
CIKM-2011-JinLZYY #clustering #topic: Transferring topical knowledge from auxiliary long texts for short text clustering (OJ, NNL, KZ, YY, QY), pp. 775–784.
CIKM-2011-LiBY #ad hoc #architecture #clustering #mobile #network: A cluster based mobile peer to peer architecture in wireless ad hoc networks (HL, KB, JY), pp. 2393–2396.
CIKM-2011-LiCBZH #clustering #semantics: Facilitating pattern discovery for relation extraction with semantic-signature-based clustering (YL, VC, SB, HZ, HH), pp. 1415–1424.
CIKM-2011-LiuWZ #clustering #feature model #using: Feature selection using hierarchical feature clustering (HL, XW, SZ), pp. 979–984.
CIKM-2011-LuCAK #clustering #documentation #segmentation #topic: Legal document clustering with built-in topic segmentation (QL, JGC, KAK, WK), pp. 383–392.
CIKM-2011-MontanerSFD #clustering #database #named: MEMSCALE: in-cluster-memory databases (HM, FS, HF, JD), pp. 2569–2572.
CIKM-2011-MullerAGS #clustering #scalability: Scalable density-based subspace clustering (EM, IA, SG, TS), pp. 1077–1086.
CIKM-2011-SteinGH #clustering #precise #web: Beyond precision@10: clustering the long tail of web search results (BS, TG, DH), pp. 2141–2144.
CIKM-2011-WangBFG #clustering #information management: Filtering and clustering relations for unsupervised information extraction in open domain (WW, RB, OF, BG), pp. 1405–1414.
CIKM-2011-WangHD #clustering #matrix #multi #relational #symmetry: Simultaneous clustering of multi-type relational data via symmetric nonnegative matrix tri-factorization (HW, HH, CHQD), pp. 279–284.
CIKM-2011-WangNSTC #clustering #dependence #documentation #graph #representation: Representing document as dependency graph for document clustering (YW, XN, JTS, YT, ZC), pp. 2177–2180.
CIKM-2011-WattanakitrungrojL #clustering #data type #streaming: Memory-less unsupervised clustering for data streaming by versatile ellipsoidal function (NW, CL), pp. 967–972.
CIKM-2011-YangGRW #clustering #framework #interactive #named: CLUES: a unified framework supporting interactive exploration of density-based clusters in streams (DY, ZG, EAR, MOW), pp. 815–824.
ECIR-2011-LiWJC #clustering #documentation #web: User-Related Tag Expansion for Web Document Clustering (PL, BW, WJ, YC), pp. 19–31.
ICML-2011-AroraGKF #clustering #matrix: Clustering by Left-Stochastic Matrix Factorization (RA, MRG, AK, MF), pp. 761–768.
ICML-2011-HockingVBJ #algorithm #clustering #named #using: Clusterpath: an Algorithm for Clustering using Convex Fusion Penalties (TH, JPV, FRB, AJ), pp. 745–752.
ICML-2011-JalaliCSX #clustering #graph #optimisation: Clustering Partially Observed Graphs via Convex Optimization (AJ, YC, SS, HX), pp. 1001–1008.
ICML-2011-KpotufeL #clustering #nearest neighbour: Pruning nearest neighbor cluster trees (SK, UvL), pp. 225–232.
ICML-2011-KumarD #approach #clustering #multi: A Co-training Approach for Multi-view Spectral Clustering (AK, HDI), pp. 393–400.
ICML-2011-LiP #clustering #exclamation: Time Series Clustering: Complex is Simpler! (LL, BAP), pp. 185–192.
ICML-2011-SugiyamaYKH #clustering #on the #parametricity: On Information-Maximization Clustering: Tuning Parameter Selection and Analytic Solution (MS, MY, MK, HH), pp. 65–72.
KDD-2011-AlqadahB #clustering #framework #game studies #network: A game theoretic framework for heterogenous information network clustering (FA, RB), pp. 795–804.
KDD-2011-ApplegateDKU #clustering #distance #multi #using: Unsupervised clustering of multidimensional distributions using earth mover distance (DA, TD, SK, SU), pp. 636–644.
KDD-2011-ChittaJHJ #approximate #clustering #kernel #scalability: Approximate kernel k-means: solution to large scale kernel clustering (RC, RJ, TCH, AKJ), pp. 895–903.
KDD-2011-CordeiroTTLKF #clustering #dataset #multi #pipes and filters #scalability: Clustering very large multi-dimensional datasets with MapReduce (RLFC, CTJ, AJMT, JL, UK, CF), pp. 690–698.
KDD-2011-EneIM #clustering #performance #pipes and filters #using: Fast clustering using MapReduce (AE, SI, BM), pp. 681–689.
KDD-2011-GilpinD #algorithm #approach #clustering #flexibility #performance #satisfiability: Incorporating SAT solvers into hierarchical clustering algorithms: an efficient and flexible approach (SG, IND), pp. 1136–1144.
KDD-2011-KremerKJSBHP #clustering #data type #effectiveness #evaluation #evolution: An effective evaluation measure for clustering on evolving data streams (HK, PK, TJ, TS, AB, GH, BP), pp. 868–876.
KDD-2011-LiuZW #clustering #constraints: Clustering with relative constraints (EYL, ZZ, WW), pp. 947–955.
KDD-2011-PlantB #category theory #clustering #named: INCONCO: interpretable clustering of numerical and categorical objects (CP, CB), pp. 1127–1135.
KDIR-2011-AzamV #clustering #comparative #evaluation #metric #proximity: A Comparative Evaluation of Proximity Measures for Spectral Clustering (NFA, HLV), pp. 30–41.
KDIR-2011-BarbieriCMR #approach #clustering #probability: Characterizing Relationships through Co-clustering — A Probabilistic Approach (NB, GC, GM, ER), pp. 64–73.
KDIR-2011-Ibrahim #algorithm #clustering #network: Enhancing Clustering Network Planning Algorithm in the Presence of Obstacles (LFI), pp. 480–486.
KDIR-2011-MoralesCT #clustering: Clustering of Heterogeneously Typed Data with Soft Computing (AFKM, LECB, DTB), pp. 499–502.
KDIR-2011-Osuna-OntiverosLS #approach #clustering #documentation #semantics: A Semantic Clustering Approach for Indexing Documents (DOO, ILA, VSS), pp. 288–293.
KDIR-2011-PaliwalP #clustering #documentation #proximity: Utilizing Term Proximity based Features to Improve Text Document Clustering (SP, VP), pp. 537–544.
KDIR-2011-ZalikZ #algorithm #clustering #network: Network Clustering by Advanced Label Propagation Algorithm (KRZ, BZ), pp. 444–447.
KEOD-2011-FukumotoS #classification #clustering #graph #semantics #word: Semantic Classification of Unknown Words based on Graph-based Semi-supervised Clustering (FF, YS), pp. 37–46.
MLDM-2011-AidosF #clustering #higher-order: Hierarchical Clustering with High Order Dissimilarities (HA, ALNF), pp. 280–293.
MLDM-2011-Bouguessa #approach #clustering #transaction: A Practical Approach for Clustering Transaction Data (MB), pp. 265–279.
MLDM-2011-LozanoA #algorithm #clustering: Comparing Clustering and Metaclustering Algorithms (EL, EA), pp. 306–319.
MLDM-2011-MadaniBZ #clustering #named #xml: Clust-XPaths: Clustering of XML Paths (AM, OB, DEZ), pp. 294–305.
RecSys-2011-Alam #clustering #recommendation #web: Intelligent web usage clustering based recommender system (SA), pp. 367–370.
SEKE-2011-CassellAG #approach #clustering #refactoring: A Dual Clustering Approach to the Extract Class Refactoring (KC, PA, LG), pp. 77–82.
SIGIR-2011-AnastasiuGB #clustering #collaboration #named #personalisation: ClusteringWiki: personalized and collaborative clustering of search results (DCA, BJG, DB), pp. 1263–1264.
SIGIR-2011-KozorovitzkyK #clustering: Cluster-based fusion of retrieved lists (AKK, OK), pp. 893–902.
SIGIR-2011-LeungLL #clustering #collaboration #framework #named #recommendation: CLR: a collaborative location recommendation framework based on co-clustering (KWTL, DLL, WCL), pp. 305–314.
SIGIR-2011-YangGU #clustering #identification #self: Identifying points of interest by self-tuning clustering (YY, ZG, LHU), pp. 883–892.
SIGIR-2011-ZhangWS11a #clustering #documentation: Document clustering with universum (DZ, JW, LS), pp. 873–882.
RE-2011-MahmoudN #clustering #named #traceability: TraCter: A tool for candidate traceability link clustering (AM, NN), pp. 335–336.
RE-2011-VeerappaL #clustering #comprehension #multi #problem: Understanding clusters of optimal solutions in multi-objective decision problems (VV, EL), pp. 89–98.
REFSQ-2011-VeerappaL #clustering #requirements: Clustering Stakeholders for Requirements Decision Making (VV, EL), pp. 202–208.
SAC-2011-BelcaidBHP #clustering #performance #using: Efficient clustering of populations using a minimal SNP panel (MB, KB, DH, GP), pp. 83–88.
SAC-2011-ChenHT #clustering #power management #quality #requirements: Power management schemes for heterogeneous clusters under quality of service requirements (JJC, KH, LT), pp. 546–553.
SAC-2011-CuzzocreaS #clustering #database #framework #mining #named: ClustCube: an OLAP-based framework for clustering and mining complex database objects (AC, PS), pp. 976–982.
SAC-2011-FuPT #clustering #distributed #framework #named: CluB: a cluster based framework for mitigating distributed denial of service attacks (ZF, MP, PT), pp. 520–527.
SAC-2011-HsuCK #clustering: Hierarchical comments-based clustering (CFH, JC, EK), pp. 1130–1137.
SAC-2011-HuMB #clustering #documentation #feature model #interactive: Interactive feature selection for document clustering (YH, EEM, JB), pp. 1143–1150.
SAC-2011-KontogiannisWM #clustering #comprehension #reduction #runtime: Event clustering for log reduction and run time system understanding (KK, AW, SM), pp. 191–192.
SAC-2011-RodriguesGAL #clustering #named: L2GClust: local-to-global clustering of stream sources (PPR, JG, JA, LMBL), pp. 1006–1011.
SAC-2011-VandicDHF #approach #clustering #semantics: A semantic clustering-based approach for searching and browsing tag spaces (DV, JWvD, FH, FF), pp. 1693–1699.
ASPLOS-2011-SharmaBIS #clustering #named: Blink: managing server clusters on intermittent power (NS, SKB, DEI, PJS), pp. 185–198.
HPDC-2011-JuveD #clustering #named: Wrangler: virtual cluster provisioning for the cloud (GJ, ED), pp. 277–278.
HPDC-2011-TejedorFGBAL #clustering #named #programming: ClusterSs: a task-based programming model for clusters (ET, MF, DG, RMB, GA, JL), pp. 267–268.
SOSP-2011-ErlingssonPPB #clustering #distributed #kernel #named: Fay: extensible distributed tracing from kernels to clusters (ÚE, MP, SP, MB), pp. 311–326.
ICST-2011-ChenCZXF #clustering #testing #using: Using semi-supervised clustering to improve regression test selection techniques (SC, ZC, ZZ, BX, YF), pp. 1–10.
CASE-2010-AhnM #analysis #behaviour #clustering #modelling #tool support: Analysis of circular cluster tools: Transient behavior and semiconductor equipment models (YA, JRM), pp. 39–44.
CASE-2010-ChanR #clustering #estimation #multi #on the #scheduling #tool support: On gradient estimation of scheduling for multi-cluster tools with general robot moving times (WK(C, TMR), pp. 112–117.
CASE-2010-LeeL #architecture #clustering #scheduling #tool support: An open scheduling architecture for cluster tools (JHL, TEL), pp. 420–425.
CASE-2010-RoutrayRS #clustering #detection #fault #reduction: Data reduction and clustering techniques for fault detection and diagnosis in automotives (AR, AR, SS), pp. 326–331.
CASE-2010-SinghR #clustering #energy #optimisation #policy: Energy optimization policies for server clusters (NS, SR), pp. 293–300.
CASE-2010-WuZ #bound #clustering #petri net #process #scheduling #tool support: Petri net-based scheduling of time-constrained dual-arm cluster tools with bounded activity time variation (NW, MZ), pp. 465–470.
DATE-2010-NeishaburiZ #clustering #debugging #performance: Enabling efficient post-silicon debug by clustering of hardware-assertions (MHN, ZZ), pp. 985–988.
DATE-2010-SrinivasJ #clustering #graph #performance: Clock gating approaches by IOEX graphs and cluster efficiency plots (JS, SJ), pp. 638–641.
DocEng-2010-DubucB #clustering #social #social media #topic: Structure-aware topic clustering in social media (JD, SB), pp. 247–250.
DRR-2010-BianneKL #clustering #modelling #recognition #using #word: Context-dependent HMM modeling using tree-based clustering for the recognition of handwritten words (ALB, CK, LLS), pp. 1–10.
HT-2010-LeivaV #approach #clustering #documentation #interactive #web: Assessing users’ interactions for clustering web documents: a pragmatic approach (LAL, EV), pp. 277–278.
SIGMOD-2010-MahmoudA #clustering #integration #multi #retrieval: Schema clustering and retrieval for multi-domain pay-as-you-go data integration systems (HAM, AA), pp. 411–422.
VLDB-2010-BuHBE #clustering #named #performance #scalability: HaLoop: Efficient Iterative Data Processing on Large Clusters (YB, BH, MB, MDE), pp. 285–296.
VLDB-2010-GunnemannFKS #clustering #concept #interactive #named: CoDA: Interactive Cluster Based Concept Discovery (SG, IF, HK, TS), pp. 1633–1636.
VLDB-2010-LangP #clustering #energy #pipes and filters: Energy Management for MapReduce Clusters (WL, JMP), pp. 129–139.
VLDB-2010-LiDHK #clustering #mining #named: Swarm: Mining Relaxed Temporal Moving Object Clusters (ZL, BD, JH, RK), pp. 723–734.
VLDB-2010-MacropolS #clustering #graph #scalability: Scalable Discovery of Best Clusters on Large Graphs (KM, AKS), pp. 693–702.
CSMR-2010-CorazzaMS #approach #clustering #probability #towards: A Probabilistic Based Approach towards Software System Clustering (AC, SDM, GS), pp. 88–96.
ICPC-2010-ScannielloDDD #algorithm #clustering #using: Using the Kleinberg Algorithm and Vector Space Model for Software System Clustering (GS, AD, CD, TD), pp. 180–189.
ICPC-2010-ShternT #algorithm #clustering #on the: On the Comparability of Software Clustering Algorithms (MS, VT), pp. 64–67.
PASTE-2010-IslamKBH #clustering #dependence: Coherent dependence clusters (SSI, JK, DB, MH), pp. 53–60.
WCRE-2010-BeckD #clustering #evolution: Evaluating the Impact of Software Evolution on Software Clustering (FB, SD), pp. 99–108.
ICALP-v1-2010-LiYZ #clustering: Clustering with Diversity (JL, KY, QZ), pp. 188–200.
SOFTVIS-2010-IslamKB #clustering #dependence #visualisation: Dependence cluster visualization (SSI, JK, DB), pp. 93–102.
ICEIS-AIDSS-2010-AdamLDB #clustering #parallel #performance #using: Performance Gain for Clustering with Growing Neural Gas using Parallelization Methods (AA, SL, SD, WB), pp. 264–269.
ICEIS-AIDSS-2010-SahaPMB #classification #clustering #difference #image #using: Improvement of Differential Crisp Clustering using ANN Classifier for Unsupervised Pixel Classification of Satellite Image (IS, DP, UM, SB), pp. 21–29.
ICEIS-DISI-2010-BottcherHK #clustering #named #xml: CluX — Clustering XML Sub-trees (SB, RH, CK), pp. 142–150.
CIKM-2010-ChatterjeeBR #clustering: Feature subspace transformations for enhancing k-means clustering (AC, SB, PR), pp. 1801–1804.
CIKM-2010-DasguptaBL #clustering #performance #taxonomy #web #web service: Taxonomic clustering of web service for efficient discovery (SD, SB, YL), pp. 1617–1620.
CIKM-2010-EatondJ #clustering #constraints #learning #multi: Multi-view clustering with constraint propagation for learning with an incomplete mapping between views (EE, Md, SJ), pp. 389–398.
CIKM-2010-FangSS #clustering #learning #multi: Multilevel manifold learning with application to spectral clustering (HrF, SS, YS), pp. 419–428.
CIKM-2010-FanWW #clustering #normalisation #performance #visual notation: Maximum normalized spacing for efficient visual clustering (ZGF, YW, BW), pp. 409–418.
CIKM-2010-HuangSHDSL #algorithm #clustering #community #detection #named #network: SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks (JH, HS, JH, HD, YS, YL), pp. 219–228.
CIKM-2010-LuETP #clustering #video #visualisation: Visualization and clustering of crowd video content in MPCA subspace (HL, HLE, MT, KNP), pp. 1777–1780.
CIKM-2010-WangL #clustering #documentation #incremental #summary #using: Document update summarization using incremental hierarchical clustering (DW, TL), pp. 279–288.
ECIR-2010-PapapetrouSF #clustering #network #peer-to-peer #probability: Text Clustering for Peer-to-Peer Networks with Probabilistic Guarantees (OP, WS, NF), pp. 293–305.
ICML-2010-BshoutyL #clustering #linear #using: Finding Planted Partitions in Nearly Linear Time using Arrested Spectral Clustering (NHB, PML), pp. 135–142.
ICML-2010-CoenAF #clustering: Comparing Clusterings in Space (MHC, MHA, NF), pp. 231–238.
ICML-2010-DasguptaN #clustering #mining: Mining Clustering Dimensions (SD, VN), pp. 263–270.
ICML-2010-FaivishevskyG #algorithm #clustering #parametricity: Nonparametric Information Theoretic Clustering Algorithm (LF, JG), pp. 351–358.
ICML-2010-LinC #clustering: Power Iteration Clustering (FL, WWC), pp. 655–662.
ICML-2010-NiuDJ #clustering #multi: Multiple Non-Redundant Spectral Clustering Views (DN, JGD, MIJ), pp. 831–838.
ICML-2010-PoonZCW #clustering #modelling: Variable Selection in Model-Based Clustering: To Do or To Facilitate (LKMP, NLZ, TC, YW), pp. 887–894.
ICML-2010-Ryabko #clustering #process: Clustering processes (DR), pp. 919–926.
ICML-2010-VogtPFR #clustering #distance #invariant #process: The Translation-invariant Wishart-Dirichlet Process for Clustering Distance Data (JEV, SP, TJF, VR), pp. 1111–1118.
ICPR-2010-AbdalaWJ #clustering #random: Ensemble Clustering via Random Walker Consensus Strategy (DDA, PW, XJ), pp. 1433–1436.
ICPR-2010-AbergW #3d #algorithm #clustering: A Memetic Algorithm for Selection of 3D Clustered Features with Applications in Neuroscience (MBÅ, JW), pp. 1076–1079.
ICPR-2010-AyechKA #adaptation #clustering #image #segmentation: Image Segmentation Based on Adaptive Fuzzy-C-Means Clustering (MWA, KK, BeA), pp. 2306–2309.
ICPR-2010-BassiouK #clustering #distance #using #word: Word Clustering Using PLSA Enhanced with Long Distance Bigrams (NB, CK), pp. 4226–4229.
ICPR-2010-BauckhageT #adaptation #clustering #image: Adapting Information Theoretic Clustering to Binary Images (CB, CT), pp. 910–913.
ICPR-2010-BuloP #clustering #difference #probability #using: Probabilistic Clustering Using the Baum-Eagon Inequality (SRB, MP), pp. 1429–1432.
ICPR-2010-CapitaineF10a #clustering #image #on the #segmentation: On Selecting an Optimal Number of Clusters for Color Image Segmentation (HLC, CF), pp. 3388–3391.
ICPR-2010-ChenWL #clustering #on the: On Dynamic Weighting of Data in Clustering with K-Alpha Means (SC, HW, BL), pp. 774–777.
ICPR-2010-CheongL #case study #clustering #detection #topic #twitter: A Study on Detecting Patterns in Twitter Intra-topic User and Message Clustering (MC, VCSL), pp. 3125–3128.
ICPR-2010-ChiuHW #clustering: AP-Based Consensus Clustering for Gene Expression Time Series (TYC, TCH, JSW), pp. 2512–2515.
ICPR-2010-DinhPLL #clustering: Tensor Voting Based Color Clustering (TND, JP, CL, GL), pp. 597–600.
ICPR-2010-IsmailF #clustering #finite #modelling #robust: Possibilistic Clustering Based on Robust Modeling of Finite Generalized Dirichlet Mixture (MMBI, HF), pp. 573–576.
ICPR-2010-JiLZ #clustering #modelling: CDP Mixture Models for Data Clustering (YJ, TL, HZ), pp. 637–640.
ICPR-2010-JouiliTL #algorithm #clustering #graph: Median Graph Shift: A New Clustering Algorithm for Graph Domain (SJ, ST, VL), pp. 950–953.
ICPR-2010-KitaW #clustering #image #using: Binarization of Color Characters in Scene Images Using k-means Clustering and Support Vector Machines (KK, TW), pp. 3183–3186.
ICPR-2010-KlareMJD #clustering: Clustering Face Carvings: Exploring the Devatas of Angkor Wat (BK, PKM, AKJ, KD), pp. 1517–1520.
ICPR-2010-KobayashiO #clustering: Von Mises-Fisher Mean Shift for Clustering on a Hypersphere (TK, NO), pp. 2130–2133.
ICPR-2010-LourencoFJ #clustering #on the #scalability: On the Scalability of Evidence Accumulation Clustering (AL, ALNF, AKJ), pp. 782–785.
ICPR-2010-MakiharaY #analysis #clustering: Cluster-Pairwise Discriminant Analysis (YM, YY), pp. 577–580.
ICPR-2010-MarinaiMS #clustering #identification #recognition: Bag of Characters and SOM Clustering for Script Recognition and Writer Identification (SM, BM, GS), pp. 2182–2185.
ICPR-2010-Mirzaei #algorithm #clustering #multi #novel: A Novel Multi-view Agglomerative Clustering Algorithm Based on Ensemble of Partitions on Different Views (HM), pp. 1007–1010.
ICPR-2010-NielsenBS #clustering: Bhattacharyya Clustering with Applications to Mixture Simplifications (FN, SB, OS), pp. 1437–1440.
ICPR-2010-PinedaKW #clustering #correlation #set #visual notation #word: Object Discovery by Clustering Correlated Visual Word Sets (GFP, HK, TW), pp. 750–753.
ICPR-2010-SaboorianJR #adaptation #clustering #database #image #scalability: User Adaptive Clustering for Large Image Databases (MMS, MJ, HRR), pp. 4271–4274.
ICPR-2010-SakarKSG #clustering #feature model #predict: Prediction of Protein Sub-nuclear Location by Clustering mRMR Ensemble Feature Selection (COS, OK, HS, FG), pp. 2572–2575.
ICPR-2010-SfikasHN #analysis #clustering #multi #using: Multiple Atlas Inference and Population Analysis Using Spectral Clustering (GS, CH, CN), pp. 2500–2503.
ICPR-2010-TakalaCP #clustering #network #sequence: Boosting Clusters of Samples for Sequence Matching in Camera Networks (VT, YC, MP), pp. 400–403.
ICPR-2010-TaxHVP #clustering #concept #detection #learning #multi #using: The Detection of Concept Frames Using Clustering Multi-instance Learning (DMJT, EH, MFV, MP), pp. 2917–2920.
ICPR-2010-VuLB #algorithm #clustering #constraints #performance: An Efficient Active Constraint Selection Algorithm for Clustering (VVV, NL, BBM), pp. 2969–2972.
ICPR-2010-WangB #automation #clustering #evaluation #fault #performance: Performance Evaluation of Automatic Feature Discovery Focused within Error Clusters (SYW, HSB), pp. 718–721.
ICPR-2010-WangLR #clustering #graph: Combining Real and Virtual Graphs to Enhance Data Clustering (LW, CL, KR), pp. 790–793.
ICPR-2010-WojcikiewiczBK #classification #clustering #image: Enhancing Image Classification with Class-wise Clustered Vocabularies (WW, AB, MK), pp. 1060–1063.
ICPR-2010-ZhangH #clustering: A Hierarchical Clustering Method for Color Quantization (JZ, JH), pp. 786–789.
ICPR-2010-ZhangW #clustering #named: ARImp: A Generalized Adjusted Rand Index for Cluster Ensembles (SZ, HSW), pp. 778–781.
ICPR-2010-ZhanY #clustering: Cluster Preserving Embedding (YZ, JY), pp. 621–624.
KDD-2010-BohmPSY #clustering: Clustering by synchronization (CB, CP, JS, QY), pp. 583–592.
KDD-2010-CaiZH #clustering #feature model #multi: Unsupervised feature selection for multi-cluster data (DC, CZ, XH), pp. 333–342.
KDD-2010-DangB #clustering #linear: A hierarchical information theoretic technique for the discovery of non linear alternative clusterings (XHD, JB), pp. 573–582.
KDD-2010-HossainTWDHR #clustering: Unifying dependent clustering and disparate clustering for non-homogeneous data (MSH, ST, LTW, ID, RFH, NR), pp. 593–602.
KDD-2010-LiuLNFL #clustering #towards: Towards mobility-based clustering (SL, YL, LMN, JF, ML), pp. 919–928.
KDD-2010-PrestonBKSF #clustering #constraints #using: Redefining class definitions using constraint-based clustering: an application to remote sensing of the earth’s surface (DP, CEB, RK, DSM, MAF), pp. 823–832.
KDD-2010-WangD #clustering #flexibility: Flexible constrained spectral clustering (XW, ID), pp. 563–572.
KDD-2010-YeLCJ #automation #categorisation #clustering #using: Automatic malware categorization using cluster ensemble (YY, TL, YC, QJ), pp. 95–104.
KDD-2010-YuHW #clustering #documentation #feature model #process: Document clustering via dirichlet process mixture model with feature selection (GY, RzH, ZW), pp. 763–772.
KDIR-2010-GabrielSN #clustering #folksonomy #named #process: Crosssense — Sensemaking in a Folksonomy with Cross-modal Clustering over Content and User Activities (HHG, MS, AN), pp. 100–111.
KDIR-2010-KumarVSV #clustering #documentation #n-gram #wiki: Exploiting N-gram Importance and Wikipedia based Additional Knowledge for Improvements in GAAC based Document Clustering (NK, VVBV, KS, VV), pp. 182–187.
KDIR-2010-LourencoF #clustering #learning #multi: Selectively Learning Clusters in Multi-EAC (AL, ALNF), pp. 491–499.
KDIR-2010-NcirEB #clustering #kernel: Kernel Overlapping K-Means for Clustering in Feature Space (CEBN, NE, PB), pp. 250–255.
KDIR-2010-OlsonL #clustering #performance: Simple and Efficient Projective Clustering (CFO, HJL), pp. 45–55.
KDIR-2010-SaidW #clustering #concurrent #online #thread: Clustering of Thread Posts in Online Discussion Forums (DAS, NMW), pp. 314–319.
KDIR-2010-ThanhYU #clustering #documentation #scalability #set #similarity: Clustering Documents with Large Overlap of Terms into Different Clusters based on Similarity Rough Set Model (NCT, KY, MU), pp. 396–399.
KDIR-2010-TsaiHYC #algorithm #clustering #performance: An Efficient PSO-based Clustering Algorithm (CWT, KWH, CSY, MCC), pp. 150–155.
KEOD-2010-JohnF #clustering #personalisation #semantics #web: The Effect of Semantic Clustering on Web Search Personalization (JDG, FO), pp. 60–69.
KMIS-2010-Caballero-GilCM #analysis #clustering #information management #simulation #using: Knowledge Management using Clusters in VANETs — Description, Simulation and Analysis (CCG, PCG, JMG), pp. 170–175.
RecSys-2010-KhoshneshinS10a #clustering #collaboration #incremental: Incremental collaborative filtering via evolutionary co-clustering (MK, WNS), pp. 325–328.
RecSys-2010-MoldvayBFS #clustering #graph #named #recommendation #semantics #social: Tagmantic: a social recommender service based on semantic tag graphs and tag clusters (JM, IB, AF, MS), pp. 345–346.
SEKE-2010-DuanCZQY #clustering #slicing #testing: Improving Cluster Selection Techniques of Regression Testing by Slice Filtering (YD, ZC, ZZ, JQ, ZY), pp. 253–258.
SEKE-2010-MarcaciniR #clustering #incremental #topic #using: Incremental Construction of Topic Hierarchies using Hierarchical Term Clustering (RMM, SOR), p. 553.
SIGIR-2010-CarpinetoR #clustering: Optimal meta search results clustering (CC, GR), pp. 170–177.
SIGIR-2010-DasguptaN #clustering #towards: Towards subjectifying text clustering (SD, VN), pp. 483–490.
SIGIR-2010-FernandezPLB #approach #clustering: Where to start filtering redundancy?: a cluster-based approach (RTF, JP, DEL, AB), pp. 735–736.
SIGIR-2010-KimAGG #clustering #documentation #multi: Multi-view clustering of multilingual documents (YMK, MRA, CG, PG), pp. 821–822.
SIGIR-2010-LiL #algorithm #clustering #named: HCC: a hierarchical co-clustering algorithm (JL, TL), pp. 861–862.
SIGIR-2010-MingWC #categorisation #clustering #navigation #prototype #web: Prototype hierarchy based clustering for the categorization and navigation of web collections (ZM, KW, TSC), pp. 2–9.
SIGIR-2010-MuhrKG #analysis #clustering: Analysis of structural relationships for hierarchical cluster labeling (MM, RK, MG), pp. 178–185.
SIGIR-2010-WangWVL #clustering #documentation #learning #metric: Text document clustering with metric learning (JW, SW, HQV, GL), pp. 783–784.
SAC-2010-ConceicaoPC #clustering #novel: A novel stable and low-maintenance clustering scheme (LC, DP, MC), pp. 699–705.
SAC-2010-GabrielSN #clustering #matrix #similarity #using: Eigenvector-based clustering using aggregated similarity matrices (HHG, MS, AN), pp. 1083–1087.
SAC-2010-LamprierASL #clustering: Traveling among clusters: a way to reconsider the benefits of the cluster hypothesis (SL, TA, FS, BL), pp. 1774–1780.
SAC-2010-LamprierASL10a #approach #clustering #multi #query: Query-oriented clustering: a multi-objective approach (SL, TA, FS, BL), pp. 1789–1795.
SAC-2010-MatteoPTV #algorithm #ambiguity #clustering #folksonomy: Of mice and terms: clustering algorithms on ambiguous terms in folksonomies (NRDM, SP, FT, FV), pp. 844–848.
SAC-2010-PetrucciLM #clustering #optimisation #performance: Dynamic optimization of power and performance for virtualized server clusters (VP, OL, DM), pp. 263–264.
SAC-2010-RosswogG #clustering #detection #mobile: Efficiently detecting clusters of mobile objects in the presence of dense noise (JR, KG), pp. 1095–1102.
SAC-2010-RyuLYS #clustering #file system: Flash-aware cluster allocation method based on filename extension for FAT file system (SR, CL, SY, SS), pp. 502–509.
SAC-2010-SantanaLM #clustering #realtime #web: Load forecasting applied to soft real-time web clusters (CS, JCBL, DM), pp. 346–350.
SAC-2010-ShestakovS #clustering #web: Host-IP clustering technique for deep web characterization (DS, TS), pp. 874–875.
HPCA-2010-LeeLSKKS #clustering #manycore: COMIC++: A software SVM system for heterogeneous multicore accelerator clusters (JL, JL, SS, JK, SK, ZS), pp. 1–12.
HPDC-2010-FuRLFG #clustering #data-driven #named #scalability: DiscFinder: a data-intensive scalable cluster finder for astrophysics (BF, KR, JL, EF, GAG), pp. 348–351.
HPDC-2010-HermenierLM #clustering: Cluster-wide context switch of virtualized jobs (FH, AL, JMM), pp. 658–666.
HPDC-2010-JonesDD #clustering #performance: Impact of sub-optimal checkpoint intervals on application efficiency in computational clusters (WMJ, JTD, ND), pp. 276–279.
HPDC-2010-RajannaSJLG #clustering #coordination #in the cloud #named #network: XCo: explicit coordination to prevent network fabric congestion in cloud computing cluster platforms (VSR, SS, AJ, CL, KG), pp. 252–263.
HPDC-2010-StoutFMG #clustering #network #scalability #using: Scaling virtual organization clusters over a wide area network using the Kestrel workload management system (LS, MF, MAM, SG), pp. 692–698.
OSDI-2010-AnanthanarayananKGSLSH #clustering #using: Reining in the Outliers in Map-Reduce Clusters using Mantri (GA, SK, AGG, IS, YL, BS, EH), pp. 265–278.
ICST-2010-YanCZZZ #clustering #execution: A Dynamic Test Cluster Sampling Strategy by Leveraging Execution Spectra Information (SY, ZC, ZZ, CZ, YZ), pp. 147–154.
ASE-2009-BarnatBS #clustering #ltl #model checking: Cluster-Based I/O-Efficient LTL Model Checking (JB, LB, PS), pp. 635–639.
ASE-2009-CassellAGN #automation #clustering #towards #using: Towards Automating Class-Splitting Using Betweenness Clustering (KC, PA, LG, JN), pp. 595–599.
ASE-2009-GuldaliFJSE #automation #clustering #requirements #testing #using: Semi-automated Test Planning for e-ID Systems by Using Requirements Clustering (BG, HF, MJ, SS, GE), pp. 29–39.
CASE-2009-GargM #agile #algorithm #clustering #named #using: RACK: RApid clustering using K-means algorithm (VKG, MNM), pp. 621–626.
CASE-2009-Morrison #clustering #modelling #process #tool support: Regular flow line models for semiconductor cluster tools: A case of lot dependent process times (JRM), pp. 561–566.
CASE-2009-VeilumuthuR #clustering #query: Intent based clustering of search engine query log (AV, PR), pp. 647–652.
CASE-2009-WuCCZ #approach #clustering #novel #scheduling #tool support: A novel approach to scheduling of single-arm cluster tools with wafer revisiting (NW, FC, CC, MZ), pp. 567–572.
DATE-2009-LombardiMB #clustering #manycore #realtime #robust #scheduling: Robust non-preemptive hard real-time scheduling for clustered multicore platforms (ML, MM, LB), pp. 803–808.
DATE-2009-LongLFDY #adaptation #clustering #energy #network: Energy-efficient spatially-adaptive clustering and routing in wireless sensor networks (HL, YL, XF, RPD, HY), pp. 1267–1272.
DATE-2009-SathanurPBMM #clustering #design #variability: Physically clustered forward body biasing for variability compensation in nanometer CMOS design (AVS, AP, LB, GDM, EM), pp. 154–159.
DocEng-2009-KuttyNL #approach #clustering #documentation #hybrid #named #performance #xml: HCX: an efficient hybrid clustering approach for XML documents (SK, RN, YL), pp. 94–97.
DRR-2009-TanVK #clustering #identification #online #using: Online writer identification using alphabetic information clustering (GXT, CVG, ACK), pp. 1–10.
ICDAR-2009-BharathM #clustering #framework: A Framework Based on Semi-Supervised Clustering for Discovering Unique Writing Styles (AB, SM), pp. 891–895.
ICDAR-2009-CaoPSN #adaptation #clustering #using: Unsupervised HMM Adaptation Using Page Style Clustering (HC, RP, SS, PN), pp. 1091–1095.
ICDAR-2009-GaoTLTC #analysis #clustering #documentation: Analysis of Book Documents’ Table of Content Based on Clustering (LG, ZT, XL, XT, YC), pp. 911–915.
ICDAR-2009-MarinaiMS #clustering #order #using: Mathematical Symbol Indexing Using Topologically Ordered Clusters of Shape Contexts (SM, BM, GS), pp. 1041–1045.
ICDAR-2009-MoghaddamC #automation #classification #clustering #documentation #image #multi #word: Application of Multi-Level Classifiers and Clustering for Automatic Word Spotting in Historical Document Images (RFM, MC), pp. 511–515.
ICDAR-2009-PletschacherHA #clustering #documentation #framework #recognition: A New Framework for Recognition of Heavily Degraded Characters in Historical Typewritten Documents Based on Semi-Supervised Clustering (SP, JH, AA), pp. 506–510.
ICDAR-2009-RasagnaKJM #clustering #documentation #recognition #robust #word: Robust Recognition of Documents by Fusing Results of Word Clusters (VR, AK, CVJ, RM), pp. 566–570.
PODS-2009-GuhaM #clustering #nondeterminism: Exceeding expectations and clustering uncertain data (SG, KM), pp. 269–278.
SIGMOD-2009-XuBEHS #clustering #enterprise #nondeterminism: E = MC3: managing uncertain enterprise data in a cluster-computing environment (FX, KSB, VE, PJH, EJS), pp. 441–454.
VLDB-2009-HassanzadehCML #algorithm #clustering #detection #framework: Framework for Evaluating Clustering Algorithms in Duplicate Detection (OH, FC, RJM, HCL), pp. 1282–1293.
VLDB-2009-KimH #clustering #network: A Particle-and-Density Based Evolutionary Clustering Method for Dynamic Networks (MSK, JH), pp. 622–633.
VLDB-2009-KoloniariP #clustering #game studies #peer-to-peer: A Recall-Based Cluster Formation Game in Peer-to-Peer Systems (GK, EP), pp. 455–466.
VLDB-2009-MullerGAS #clustering: Evaluating Clustering in Subspace Projections of High Dimensional Data (EM, SG, IA, TS), pp. 1270–1281.
VLDB-2009-ZhouCY #clustering #graph: Graph Clustering Based on Structural/Attribute Similarities (YZ, HC, JXY), pp. 718–729.
CSMR-2009-BittencourtG #algorithm #architecture #clustering #comparison #graph: Comparison of Graph Clustering Algorithms for Recovering Software Architecture Module Views (RAB, DDSG), pp. 251–254.
CSMR-2009-PatelHR #clustering #dependence #dynamic analysis #using: Software Clustering Using Dynamic Analysis and Static Dependencies (CP, AHL, JR), pp. 27–36.
ICPC-2009-HanWYCZL #clustering #comprehension #design pattern #open source #source code: Design pattern directed clustering for understanding open source code (ZH, LW, LY, XC, JZ, XL), pp. 295–296.
ICPC-2009-ShternT #algorithm #clustering: Methods for selecting and improving software clustering algorithms (MS, VT), pp. 248–252.
ICSM-2009-FokaefsTCS #clustering #object-oriented #using: Decomposing object-oriented class modules using an agglomerative clustering technique (MF, NT, AC, JS), pp. 93–101.
ICSM-2009-ShternT #clustering #evaluation #using: Refining clustering evaluation using structure indicators (MS, VT), pp. 297–305.
SCAM-2009-BinkleyH #clustering #dependence #identification #scalability: Identifying “Linchpin Vertices” That Cause Large Dependence Clusters (DB, MH), pp. 89–98.
WCRE-1999-AnquetilL99b #clustering #years after: Ten Years Later, Experiments with Clustering as a Software Remodularization Method (NA, TCL), p. 7.
WCRE-1999-VanyaKRV99a #clustering: Characterizing Evolutionary Clusters (AV, SK, NvR, HvV), pp. 227–236.
DLT-2009-BealP #automaton #bound #clustering #polynomial #word: A Quadratic Upper Bound on the Size of a Synchronizing Word in One-Cluster Automata (MPB, DP), pp. 81–90.
ICALP-v1-2009-AilonL #clustering #correlation #cost analysis #fault #problem: Correlation Clustering Revisited: The “True” Cost of Error Minimization Problems (NA, EL), pp. 24–36.
CHI-2009-BergstromK #clustering #human-computer #topic: Conversation clusters: grouping conversation topics through human-computer dialog (TB, KK), pp. 2349–2352.
CHI-2009-SchrammelLT #clustering #empirical #evaluation #semantics: Semantically structured tag clouds: an empirical evaluation of clustered presentation approaches (JS, ML, MT), pp. 2037–2040.
DHM-2009-NiuLX #3d #clustering: Comparisons of 3D Shape Clustering with Different Face Area Definitions (JN, ZL, SX), pp. 55–63.
DHM-2009-NiuLX09a #3d #clustering: Block Division for 3D Head Shape Clustering (JN, ZL, SX), pp. 64–71.
HIMI-DIE-2009-DumanHG #adaptation #clustering #visual notation: Adaptive Visual Clustering for Mixed-Initiative Information Structuring (HD, AH, RAGH), pp. 384–393.
HIMI-II-2009-AllamrajuC #clustering #documentation #heuristic #preprocessor: Enhancing Document Clustering through Heuristics and Summary-Based Pre-processing (SHA, RC), pp. 105–113.
HIMI-II-2009-KimMC #clustering #network #protocol #using: A Hierarchical Data Dissemination Protocol Using Probability-Based Clustering for Wireless Sensor Networks (MK, MWM, HC), pp. 149–158.
ICEIS-AIDSS-2009-KuoWHH #clustering #network #optimisation #order #using: An Order Clustering System using ART2 Neural Network and Particle Swarm Optimization Methodn (RJK, MJW, TWH, TLH), pp. 54–59.
ICEIS-J-2009-GadK #clustering #performance #semantics #similarity #using: Enhancing Text Clustering Performance Using Semantic Similarity (WKG, MSK), pp. 325–335.
ICEIS-J-2009-MohebiS #ambiguity #analysis #clustering #detection #hybrid #network #using: An Optimized Hybrid Kohonen Neural Network for Ambiguity Detection in Cluster Analysis Using Simulated Annealing (EM, MNMS), pp. 389–401.
CIKM-2009-AlonsoGB #clustering #timeline #using: Clustering and exploring search results using timeline constructions (OA, MG, RABY), pp. 97–106.
CIKM-2009-BalachandranPK #clustering #configuration management #dataset #documentation: Interpretable and reconfigurable clustering of document datasets by deriving word-based rules (VB, DP, DK), pp. 1773–1776.
CIKM-2009-BashirR #clustering #documentation #feedback #pseudo: Improving retrievability of patents with cluster-based pseudo-relevance feedback documents selection (SB, AR), pp. 1863–1866.
CIKM-2009-BohmNPW #clustering #using: Density-based clustering using graphics processors (CB, RN, CP, BW), pp. 661–670.
CIKM-2009-GuZ #clustering: Subspace maximum margin clustering (QG, JZ), pp. 1337–1346.
CIKM-2009-HeZSC #clustering #data type #multi #query #rank: Cluster based rank query over multidimensional data streams (DH, YZ, LS, GC), pp. 1493–1496.
CIKM-2009-HungP #clustering #network #predict: Clustering object moving patterns for prediction-based object tracking sensor networks (CCH, WCP), pp. 1633–1636.
CIKM-2009-HuSZC #clustering #semantics #using: Exploiting internal and external semantics for the clustering of short texts using world knowledge (XH, NS, CZ, TSC), pp. 919–928.
CIKM-2009-KuttyNL #approach #clustering #documentation #named #using #xml: XCFS: an XML documents clustering approach using both the structure and the content (SK, RN, YL), pp. 1729–1732.
CIKM-2009-LiuZSNW #clustering #documentation #query #ranking: Clustering queries for better document ranking (YL, LZ, RS, JYN, JRW), pp. 1569–1572.
CIKM-2009-LuCP #clustering #network #social #web: Exploit the tripartite network of social tagging for web clustering (CL, XC, EKP), pp. 1545–1548.
CIKM-2009-MomtaziK #approach #clustering #modelling #retrieval #word: A word clustering approach for language model-based sentence retrieval in question answering systems (SM, DK), pp. 1911–1914.
CIKM-2009-PuH #clustering #feedback #pseudo #semantics #using: Pseudo relevance feedback using semantic clustering in relevance language model (QP, DH), pp. 1931–1934.
CIKM-2009-StoyanovichA #clustering #dataset: Rank-aware clustering of structured datasets (JS, SAY), pp. 1429–1432.
CIKM-2009-WangCH #algorithm #clustering #performance #scalability #topic #web: An efficient clustering algorithm for large-scale topical web pages (LW, PC, LH), pp. 1851–1854.
CIKM-2009-WhissellCA #clustering #query #web: Clustering web queries (JSW, CLAC, AA), pp. 899–908.
CIKM-2009-WuZH #clustering: Fragment-based clustering ensembles (OW, MZ, WH), pp. 1795–1798.
ECIR-2009-ParaparB #algorithm #clustering #documentation #evaluation: Evaluation of Text Clustering Algorithms with N-Gram-Based Document Fingerprints (JP, AB), pp. 645–653.
ICML-2009-BuhlerH #clustering #graph: Spectral clustering based on the graph p-Laplacian (TB, MH), pp. 81–88.
ICML-2009-ChaudhuriKLS #analysis #canonical #clustering #correlation #multi: Multi-view clustering via canonical correlation analysis (KC, SMK, KL, KS), pp. 129–136.
ICML-2009-DeodharGGCD #clustering #framework #scalability #semistructured data: A scalable framework for discovering coherent co-clusters in noisy data (MD, GG, JG, HC, ISD), pp. 241–248.
ICML-2009-GiesekePK #clustering #performance: Fast evolutionary maximum margin clustering (FG, TP, OK), pp. 361–368.
ICML-2009-HaiderS #clustering #detection #email: Bayesian clustering for email campaign detection (PH, TS), pp. 385–392.
ICML-2009-NguyenEB #clustering #comparison #metric #question: Information theoretic measures for clusterings comparison: is a correction for chance necessary? (XVN, JE, JB), pp. 1073–1080.
ICML-2009-StreichFBB #clustering #multi: Multi-assignment clustering for Boolean data (APS, MF, DAB, JMB), pp. 969–976.
KDD-2009-AndoS #clustering #detection: Detection of unique temporal segments by information theoretic meta-clustering (SA, ES), pp. 59–68.
KDD-2009-BekkermanSV #clustering #combinator: Improving clustering stability with combinatorial MRFs (RB, MS, KV), pp. 99–108.
KDD-2009-DaruruMWG #clustering #data flow #data mining #mining #parallel #pervasive #scalability: Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data (SD, NMM, MW, JG), pp. 1115–1124.
KDD-2009-GuZ #clustering: Co-clustering on manifolds (QG, JZ), pp. 359–368.
KDD-2009-HuZLPZ #clustering #documentation #wiki: Exploiting Wikipedia as external knowledge for document clustering (XH, XZ, CL, EKP, XZ), pp. 389–396.
KDD-2009-LeeHNW #clustering #query: Query result clustering for object-level search (JL, SwH, ZN, JRW), pp. 1205–1214.
KDD-2009-MakanjuZM #clustering #using: Clustering event logs using iterative partitioning (AM, ANZH, EEM), pp. 1255–1264.
KDD-2009-QiD #clustering #flexibility #framework: A principled and flexible framework for finding alternative clusterings (ZQ, ID), pp. 717–726.
KDD-2009-SatuluriP #clustering #community #graph #probability #scalability #using: Scalable graph clustering using stochastic flows: applications to community discovery (VS, SP), pp. 737–746.
KDD-2009-SunYH #clustering #network: Ranking-based clustering of heterogeneous information networks with star network schema (YS, YY, JH), pp. 797–806.
KDD-2009-WuXC #adaptation #clustering #metric: Adapting the right measures for K-means clustering (JW, HX, JC), pp. 877–886.
KDD-2009-YanHJ #approximate #clustering #performance: Fast approximate spectral clustering (DY, LH, MIJ), pp. 907–916.
KDIR-2009-CamposDJ #clustering #topic #web: Disambiguating Web Search Results by Topic and Temporal Clustering — A Proposal (RC, GD, AMJ), pp. 292–296.
KDIR-2009-DuarteDRF #clustering #consistency #using: Cluster Ensemble Selection — Using Average Cluster Consistency (FJFD, JMMD, FR, ALNF), pp. 85–95.
KDIR-2009-SilvestreCF #category theory #clustering #modelling: Selecting Categorical Features in Model-based Clustering (CMVS, MMGSC, MATF), pp. 303–306.
KDIR-2009-SzekelyBM #clustering: Unsupervised Discriminant Embedding in Cluster Spaces (ES, EB, SMM), pp. 70–76.
KEOD-2009-YiR #algorithm #clustering #ontology #using: Using a Clustering Algorithm for Domain Related Ontology Construction (HY, VJRS), pp. 336–341.
KMIS-2009-GindiyehGHA #clustering: Linguistically Enhanced Clustering of Technical Publications (MG, GG, JH, AA), pp. 324–327.
MLDM-2009-AbdalaJ #approach #clustering: An Evidence Accumulation Approach to Constrained Clustering Combination (DDA, XJ), pp. 361–371.
MLDM-2009-BenabdeslemS #approach #clustering #probability: A Probabilistic Approach for Constrained Clustering with Topological Map (KB, JS), pp. 413–426.
MLDM-2009-CzarnowskiJ #clustering #distributed: Agent-Based Non-distributed and Distributed Clustering (IC, PJ), pp. 347–360.
MLDM-2009-GadK #clustering #semantics #similarity #using: New Semantic Similarity Based Model for Text Clustering Using Extended Gloss Overlaps (WKG, MSK), pp. 663–677.
MLDM-2009-SakaiI #clustering #performance #random: Fast Spectral Clustering with Random Projection and Sampling (TS, AI), pp. 372–384.
MLDM-2009-SarmentoKOU #clustering #performance #set: Efficient Clustering of Web-Derived Data Sets (LS, AK, ECO, LHU), pp. 398–412.
MLDM-2009-SmaouiMM #algorithm #assessment #clustering #named #quality: CSBIterKmeans: A New Clustering Algorithm Based on Quantitative Assessment of the Clustering Quality (TS, SM, CMS), pp. 337–346.
RecSys-2009-GansnerHKV #clustering #recommendation #visualisation: Putting recommendations on the map: visualizing clusters and relations (ERG, YH, SGK, CV), pp. 345–348.
RecSys-2009-Nnadi #clustering #correlation #multi #recommendation #set: Applying relevant set correlation clustering to multi-criteria recommender systems (NN), pp. 401–404.
SEKE-2009-ChaoS #clustering #data type #privacy: Privacy-preserving Clustering of Data Streams (CMC, CCS), pp. 530–535.
SEKE-2009-DoranG #clustering #web: Classifying Web Robots by K-means Clustering (DD, SSG), pp. 97–102.
SEKE-2009-JiCXZ #analysis #clustering #novel: A Novel Method of Mutation Clustering Based on Domain Analysis (CJ, ZC, BX, ZZ), pp. 422–425.
SEKE-2009-RuhelaR #clustering #documentation #web: Improving Text Document Clustering by Exploiting Open Web Directory (GR, PKR), pp. 87–92.
SEKE-2009-RusNSC #algorithm #clustering #fault #graph #using: Clustering of Defect Reports Using Graph Partitioning Algorithms (VR, XN, SGS, YC), pp. 442–445.
SIGIR-2009-AmbaiY #clustering #image #multi #ranking #set #visual notation: Multiclass VisualRank: image ranking method in clustered subsets based on visual features (MA, YY), pp. 732–733.
SIGIR-2009-BrunoM #approach #clustering #modelling #multi #using: Multiview clustering: a late fusion approach using latent models (EB, SMM), pp. 736–737.
SIGIR-2009-CarmelRZ #clustering #using #wiki: Enhancing cluster labeling using wikipedia (DC, HR, NZ), pp. 139–146.
SIGIR-2009-GongO #ambiguity #clustering #web: Selecting hierarchical clustering cut points for web person-name disambiguation (JG, DWO), pp. 778–779.
SIGIR-2009-KalmanovichK #clustering #query: Cluster-based query expansion (IGK, OK), pp. 646–647.
SIGIR-2009-KeSM #clustering #effectiveness #online: Dynamicity vs. effectiveness: studying online clustering for scatter/gather (WK, CRS, JM), pp. 19–26.
SIGIR-2009-MeisterKK #clustering #documentation #retrieval: Integrating clusters created offline with query-specific clusters for document retrieval (LM, OK, IGK), pp. 706–707.
SIGIR-2009-MonzW #ambiguity #clustering #comparison: A comparison of retrieval-based hierarchical clustering approaches to person name disambiguation (CM, WW), pp. 650–651.
SIGIR-2009-VriesG #clustering #documentation #named #scalability: K-tree: large scale document clustering (CMDV, SG), pp. 718–719.
REFSQ-2009-LiRFM #clustering #composition #design #question #requirements: Does Requirements Clustering Lead to Modular Design? (ZL, QAR, RF, NHM), pp. 233–239.
SAC-2009-ChaovalitG #clustering #data type: A method for clustering transient data streams (PC, AG), pp. 1518–1519.
SAC-2009-ChiangWLC #clustering #multi #policy #web: New content-aware request distribution policies in web clusters providing multiple services (MLC, CHW, YJL, YFC), pp. 79–83.
SAC-2009-CorderoVB #clustering #framework: A new protein motif extraction framework based on constrained co-clustering (FC, AV, MB), pp. 776–781.
SAC-2009-FodehPT #clustering #documentation #semantics #statistics: Combining statistics and semantics via ensemble model for document clustering (SJF, WFP, PNT), pp. 1446–1450.
SAC-2009-JangYC #algorithm #clustering #multi #set: A smart clustering algorithm for photo set obtained from multiple digital cameras (CJJ, TY, HGC), pp. 1784–1791.
SAC-2009-KumarZ #clustering #graph #visualisation: Visualization of clustered directed acyclic graphs with node interleaving (PK, KZ), pp. 1800–1805.
SAC-2009-PetrucciLM #adaptation #clustering #framework #power management: A framework for dynamic adaptation of power-aware server clusters (VP, OL, DM), pp. 1034–1039.
SAC-2009-RajgurePBH #clustering #network #self #transaction: Geographical data collection in sensor networks with self-organizing transaction cluster-heads (NR, EP, CB, SH), pp. 1214–1218.
SAC-2009-WeiSW #algorithm #clustering #email #fuzzy #novel #string: Clustering malware-generated spam emails with a novel fuzzy string matching algorithm (CW, AS, GW), pp. 889–890.
SAC-2009-ZhangCCW #clustering #image #visual notation: Revealing common sources of image spam by unsupervised clustering with visual features (CZ, WbC, XC, GW), pp. 891–892.
ESEC-FSE-2009-VangalaCT #clustering #comparison #execution #testing #using: Test case comparison and clustering using program profiles and static execution (VV, JC, PT), pp. 293–294.
ASPLOS-2009-CaulfieldGS #clustering #data-driven #memory management #named #performance #power management #using: Gordon: using flash memory to build fast, power-efficient clusters for data-intensive applications (AMC, LMG, SS), pp. 217–228.
HPDC-2009-AssuncaoCB #capacity #clustering #in the cloud #using: Evaluating the cost-benefit of using cloud computing to extend the capacity of clusters (MDdA, AdC, RB), pp. 141–150.
HPDC-2009-YiMEJT #abstraction #clustering #manycore #parallel: Harnessing parallelism in multicore clusters with the all-pairs and wavefront abstractions (LY, CM, SJE, KJ, DT), pp. 1–10.
SOSP-2009-ClementKLWADR #clustering: Upright cluster services (AC, MK, SL, YW, LA, MD, TR), pp. 277–290.
SOSP-2009-IsardPCWTG #clustering #distributed #named #scheduling: Quincy: fair scheduling for distributed computing clusters (MI, VP, JC, UW, KT, AG), pp. 261–276.
ICST-2009-LuoPC #clustering #testing #web: Clustering and Tailoring User Session Data for Testing Web Applications (XL, FP, MHC), pp. 336–345.
ISSTA-2009-YooHTS #clustering #effectiveness #scalability #testing: Clustering test cases to achieve effective and scalable prioritisation incorporating expert knowledge (SY, MH, PT, AS), pp. 201–212.
SAT-2009-OhmuraU #clustering #named #parallel #satisfiability: c-sat: A Parallel SAT Solver for Clusters (KO, KU), pp. 524–537.
ASE-2008-AdnanGDZ #analysis #clustering #component #design #interface #using: Using Cluster Analysis to Improve the Design of Component Interfaces (RA, BG, AvD, JZ), pp. 383–386.
ASE-2008-ZhangGC #analysis #automation #clustering #recommendation: Automated Aspect Recommendation through Clustering-Based Fan-in Analysis (DZ, YG, XC), pp. 278–287.
CASE-2008-BellurNB #clustering: Cost sharing mechanisms for business clusters with strategic firms (AB, YN, SB), pp. 1001–1006.
CASE-2008-ChanYDS #clustering #scheduling #tool support: Optimal scheduling of k-unit production of cluster tools with single-blade robots (WKC, JY, SD, DS), pp. 335–340.
CASE-2008-JungL #clustering #performance #scheduling #tool support: Efficient scheduling method based on an assignment model for robotized cluster tools (CJ, TEL), pp. 79–84.
CASE-2008-Kim #clustering #constraints: Stable schedule for a single-armed cluster tool with time constraints (JHK), pp. 97–102.
CASE-2008-PaekL #clustering #scheduling #strict #tool support: Optimal scheduling of dual-armed cluster tools without swap restriction (JHP, TEL), pp. 103–108.
CASE-2008-WuZPCC #clustering #constraints #modelling #petri net #process #realtime #tool support: Petri net modeling and real-time control of dual-arm cluster tools with residency time constraint and activity time variations (NW, MZ, SP, FC, CC), pp. 109–114.
DAC-2008-ElmWIZLM #clustering #reduction: Scan chain clustering for test power reduction (ME, HJW, MEI, CGZ, JL, NM), pp. 828–833.
DAC-2008-LinL #clustering: Analog placement based on hierarchical module clustering (MPHL, SCL), pp. 50–55.
DATE-2008-Schat #clustering #fault #process: Fault Clustering in deep-submicron CMOS Processes (JS), pp. 511–514.
DRR-2008-FumeI #analysis #categorisation #clustering #documentation #modelling #semantics: Model-based document categorization employing semantic pattern analysis and local structure clustering (KF, YI), p. 68150.
PODS-2008-AnagnostopoulosDK #algorithm #approximate #clustering: Approximation algorithms for co-clustering (AA, AD, RK), pp. 201–210.
PODS-2008-CormodeM #algorithm #approximate #clustering #nondeterminism: Approximation algorithms for clustering uncertain data (GC, AM), pp. 191–200.
SIGMOD-2008-BohmFP #clustering #component #independence #using: Outlier-robust clustering using independent components (CB, CF, CP), pp. 185–198.
SIGMOD-2008-PanZW #clustering #composition #dataset #matrix #named #performance #scalability: CRD: fast co-clustering on large datasets utilizing sampling-based matrix decomposition (FP, XZ, WW), pp. 173–184.
VLDB-2008-ChengHV #clustering: Constrained locally weighted clustering (HC, KAH, KV), pp. 90–101.
VLDB-2008-KriegelKZ #clustering #correlation #detection: Detecting clusters in moderate-to-high dimensional data: subspace clustering, pattern-based clustering, and correlation clustering (HPK, PK, AZ), pp. 1528–1529.
VLDB-2008-LeeHLG #classification #clustering #named #using: TraClass: trajectory classification using hierarchical region-based and trajectory-based clustering (JGL, JH, XL, HG), pp. 1081–1094.
CSMR-2008-KanellopoulosTHV #clustering #maintenance #source code: Interpretation of Source Code Clusters in Terms of the ISO/IEC-9126 Maintainability Characteristics (YK, CT, IH, JV), pp. 63–72.
ICPC-2008-VanyaHKLV #clustering: Assessing Software Archives with Evolutionary Clusters (AV, LH, SK, PvdL, HvV), pp. 192–201.
WCRE-2008-HayesAG #analysis #clustering #named: PREREQIR: Recovering Pre-Requirements via Cluster Analysis (JHH, GA, YGG), pp. 165–174.
WCRE-2008-RobillardD #clustering: Retrieving Task-Related Clusters from Change History (MPR, BD), pp. 17–26.
STOC-2008-BalcanBV #clustering #framework #similarity: A discriminative framework for clustering via similarity functions (MFB, AB, SV), pp. 671–680.
ICGT-2008-Hammoudeh #clustering #modelling #network: Modelling Clustering of Sensor Networks with Synchronised Hyperedge Replacement (MH), pp. 490–492.
SOFTVIS-2008-DietrichYMJD #analysis #clustering #dependence #graph #java: Cluster analysis of Java dependency graphs (JD, VY, CM, GJ, MD), pp. 91–94.
SOFTVIS-2008-ZeckzerKSHK #3d #clustering #communication #graph #reliability #using #visualisation: Analyzing the reliability of communication between software entities using a 3D visualization of clustered graphs (DZ, RK, LS, HH, TK), pp. 37–46.
ICEIS-AIDSS-2008-ChengSZ #clustering #realtime: Real Time Clustering Model (JC, MRS, MRZ), pp. 235–240.
ICEIS-AIDSS-2008-MarinakisMMZ #algorithm #clustering: A Memetic-Grasp Algorithm for Clustering (YM, MM, NFM, CZ), pp. 36–43.
ICEIS-AIDSS-2008-PanahiT #clustering #hybrid #performance #problem: An Efficient Hybrid Method for Clustering Problems (HP, RTM), pp. 288–294.
CIKM-2008-AlqadahB #algorithm #clustering #effectiveness #mining: An effective algorithm for mining 3-clusters in vertically partitioned data (FA, RB), pp. 1103–1112.
CIKM-2008-AlqadahB08a #clustering #detection #set: Detecting significant distinguishing sets among bi-clusters (FA, RB), pp. 1455–1456.
CIKM-2008-AssentKMS #clustering #named #performance: EDSC: efficient density-based subspace clustering (IA, RK, EM, TS), pp. 1093–1102.
CIKM-2008-BekkermanS #clustering #scalability #state of the art #weaving: Data weaving: scaling up the state-of-the-art in data clustering (RB, MS), pp. 1083–1092.
CIKM-2008-BordognaCPR #clustering #documentation #web: A language for manipulating clustered web documents results (GB, AC, GP, SR), pp. 23–32.
CIKM-2008-BoutsidisSA #clustering #metric #set: Clustered subset selection and its applications on it service metrics (CB, JS, NA), pp. 599–608.
CIKM-2008-ChenWD #approach #clustering #documentation: A matrix-based approach for semi-supervised document co-clustering (YC, LW, MD), pp. 1523–1524.
CIKM-2008-DuanCM #approach #clustering #requirements: A consensus based approach to constrained clustering of software requirements (CD, JCH, BM), pp. 1073–1082.
CIKM-2008-KimPAG #clustering #documentation: An extension of PLSA for document clustering (YMK, JFP, MRA, PG), pp. 1345–1346.
CIKM-2008-LeeL #clustering #data type #multi #online: A coarse-grain grid-based subspace clustering method for online multi-dimensional data streams (JWL, WSL), pp. 1521–1522.
CIKM-2008-ParaparB #clustering: Winnowing-based text clustering (JP, AB), pp. 1353–1354.
CIKM-2008-PengLS #adaptation #clustering #multi: Clustering multi-way data via adaptive subspace iteration (WP, TL, BS), pp. 1519–1520.
CIKM-2008-WangZLCG #clustering #comprehension #documentation #multi #summary: Integrating clustering and multi-document summarization to improve document understanding (DW, SZ, TL, YC, YG), pp. 1435–1436.
ECIR-2008-Gottron #clustering #documentation #web: Clustering Template Based Web Documents (TG), pp. 40–51.
ECIR-2008-NaKL08a #clustering #ranking #retrieval: Structural Re-ranking with Cluster-Based Retrieval (SHN, ISK, JHL), pp. 658–662.
ECIR-2008-WeiLLH #clustering #graph #multi #query #summary: A Cluster-Sensitive Graph Model for Query-Oriented Multi-document Summarization (FW, WL, QL, YH), pp. 446–453.
ICML-2008-ColemanSW #clustering #consistency: Spectral clustering with inconsistent advice (TC, JS, AW), pp. 152–159.
ICML-2008-CrammerTP #clustering: A rate-distortion one-class model and its applications to clustering (KC, PPT, FCNP), pp. 184–191.
ICML-2008-DaiYXY #clustering #self: Self-taught clustering (WD, QY, GRX, YY), pp. 200–207.
ICML-2008-SeldinT #category theory #classification #clustering #multi: Multi-classification by categorical features via clustering (YS, NT), pp. 920–927.
ICML-2008-ZhaoWZ #clustering #multi #performance: Efficient multiclass maximum margin clustering (BZ, FW, CZ), pp. 1248–1255.
ICPR-2008-AsgharbeygiM #clustering: Geodesic K-means clustering (NA, AM), pp. 1–4.
ICPR-2008-Basak #adaptation #clustering #framework #online: Online adaptive clustering in a decision tree framework (JB), pp. 1–4.
ICPR-2008-BucakG #clustering #incremental #matrix: Incremental clustering via nonnegative matrix factorization (SSB, BG), pp. 1–4.
ICPR-2008-CarulloBGL #clustering #documentation #web: Clustering of short commercial documents for the web (MC, EB, IG, NL), pp. 1–4.
ICPR-2008-ChangFLI #clustering #detection #kernel #multi: Clustered Microcalcification detection based on a Multiple Kernel Support Vector Machine with Grouped Features (GF-SVM) (TTC, JF, HWL, HHSI), pp. 1–4.
ICPR-2008-ChangLAH #clique #clustering #constraints #using: Unsupervised clustering using hyperclique pattern constraints (YC, DJL, JKA, YH), pp. 1–4.
ICPR-2008-ChengWL #categorisation #clustering #sequence: Dual clustering for categorization of action sequences (JC, LW, CL), pp. 1–4.
ICPR-2008-Cleuziou #clustering: An extended version of the k-means method for overlapping clustering (GC), pp. 1–4.
ICPR-2008-GuptaR #approach #clustering #multi: A microeconomic approach to multi-objective spatial clustering (UG, NR), pp. 1–4.
ICPR-2008-HautamakiNF #approximate #clustering #prototype: Time-series clustering by approximate prototypes (VH, PN, PF), pp. 1–4.
ICPR-2008-HortaMF #algorithm #clustering #comparison #image #using: A comparison of clustering fully polarimetric SAR images using SEM algorithm and G0P mixture modelwith different initializations (MMH, NDAM, ACF), pp. 1–4.
ICPR-2008-HuaSY #algorithm #clustering #invariant: Scale-invariant density-based clustering initialization algorithm and its application (CH, RS, YY), pp. 1–4.
ICPR-2008-HuiW #clustering #linear: Clustering-based locally linear embedding (KH, CW), pp. 1–4.
ICPR-2008-HuSM #categorisation #clustering #using: Categorization using semi-supervised clustering (JH, MS, AM), pp. 1–4.
ICPR-2008-KashimaHRS #clustering #distance #using: K-means clustering of proportional data using L1 distance (HK, JH, BKR, MS), pp. 1–4.
ICPR-2008-LeKM #clustering #graph: Coring method for clustering a graph (TVL, CAK, IBM), pp. 1–4.
ICPR-2008-LezorayTE #clustering #graph: Impulse noise removal by spectral clustering and regularization on graphs (OL, VTT, AE), pp. 1–4.
ICPR-2008-LiZWH #analysis #clustering #multi: Multiclass spectral clustering based on discriminant analysis (XL, ZZ, YW, WH), pp. 1–4.
ICPR-2008-MirzaeiR #clustering #transitive #using: Combining hierarchical clusterings using min-transitive closure (AM, MR), pp. 1–4.
ICPR-2008-OikeWW #adaptation #clustering: Adaptive selection of non-target cluster centers for K-means tracker (HO, HW, TW), pp. 1–4.
ICPR-2008-RothausJ #clustering #distance #graph #novel: Constrained clustering by a novel graph-based distance transformation (KR, XJ), pp. 1–4.
ICPR-2008-SahaB #clustering #multi #symmetry #using: A new multiobjective simulated annealing based clustering technique using stability and symmetry (SS, SB), pp. 1–4.
ICPR-2008-ShettyA #algorithm #clustering: A uniformity criterion and algorithm for data clustering (SS, NA), pp. 1–4.
ICPR-2008-TanY #clustering #image #segmentation #towards: Image segmentation towards natural clusters (ZT, NHCY), pp. 1–4.
ICPR-2008-TorselloBP #clustering: Beyond partitions: Allowing overlapping groups in pairwise clustering (AT, SRB, MP), pp. 1–4.
ICPR-2008-WangWCW #algorithm #clustering #learning: A clustering algorithm combine the FCM algorithm with supervised learning normal mixture model (WW, CW, XC, AW), pp. 1–4.
ICPR-2008-YousriKI #clustering #novel: A novel validity measure for clusters of arbitrary shapes and densities (NAY, MSK, MAI), pp. 1–4.
ICPR-2008-YuW #3d #classification #clustering #knowledge base: Knowledge based cluster ensemble for 3D head model classification (ZY, HSW), pp. 1–4.
ICPR-2008-ZhangW #clustering #order #ranking: Partial closure-based constrained clustering with order ranking (SZ, HSW), pp. 1–4.
ICPR-2008-ZhangWZ #clustering: Clustering by evidence accumulation on affinity propagation (XZ, FW, YZ), pp. 1–4.
ICPR-2008-ZhongYSCG #clustering #using: Hierarchical background subtraction using local pixel clustering (BZ, HY, SS, XC, WG), pp. 1–4.
KDD-2008-HuangDLL #clustering #equivalence #higher-order: Simultaneous tensor subspace selection and clustering: the equivalence of high order svd and k-means clustering (HH, CHQD, DL, TL), pp. 327–335.
KDD-2008-MoiseS #approach #clustering #novel #statistics: Finding non-redundant, statistically significant regions in high dimensional data: a novel approach to projected and subspace clustering (GM, JS), pp. 533–541.
KDD-2008-MullerAKJS #clustering #interactive #named: Morpheus: interactive exploration of subspace clustering (EM, IA, RK, TJ, TS), pp. 1089–1092.
KDD-2008-WalkerR #clustering #documentation #modelling: Model-based document clustering with a collapsed gibbs sampler (DDW, EKR), pp. 704–712.
KDD-2008-WuXC #clustering #incremental #learning #named: SAIL: summation-based incremental learning for information-theoretic clustering (JW, HX, JC), pp. 740–748.
RecSys-2008-ShepitsenGMB #clustering #personalisation #recommendation #social #using: Personalized recommendation in social tagging systems using hierarchical clustering (AS, JG, BM, RDB), pp. 259–266.
SEKE-2008-RusMS #automation #clustering #fault: Automatic Clustering of Defect Reports (VR, SM, SGS), pp. 291–296.
SEKE-2008-WuSF #clustering #mining #re-engineering: Discovering Meaningful Clusters from Mining the Software Engineering Literature (YW, HPS, LF), pp. 613–618.
SIGIR-2008-AvrachenkovDNPS #clustering #documentation #hypermedia #rank: Pagerank based clustering of hypertext document collections (KA, VD, DN, SKP, ES), pp. 873–874.
SIGIR-2008-ChenJYW #clustering #debugging #information retrieval #learning: Information retrieval on bug locations by learning co-located bug report clusters (IXC, HJ, CZY, PJW), pp. 801–802.
SIGIR-2008-DingLLP #clustering #probability #using: Posterior probabilistic clustering using NMF (CHQD, TL, DL, WP), pp. 831–832.
SIGIR-2008-HuFCZLYC #clustering #semantics #wiki: Enhancing text clustering by leveraging Wikipedia semantics (JH, LF, YC, HJZ, HL, QY, ZC), pp. 179–186.
SIGIR-2008-HuXZSL #clique #clustering #documentation #perspective: Hypergraph partitioning for document clustering: a unified clique perspective (TH, HX, WZ, SYS, HL), pp. 871–872.
SIGIR-2008-Kurland #approach #clustering #documentation #ranking: The opposite of smoothing: a language model approach to ranking query-specific document clusters (OK), pp. 171–178.
SIGIR-2008-KurlandD #approach #clustering: A rank-aggregation approach to searching for optimal query-specific clusters (OK, CD), pp. 547–554.
SIGIR-2008-LeeCA #clustering #feedback #pseudo: A cluster-based resampling method for pseudo-relevance feedback (KSL, WBC, JA), pp. 235–242.
SIGIR-2008-LiuLLJ #clustering #geometry #query #ranking: Spectral geometry for simultaneously clustering and ranking query search results (YL, WL, YL, LJ), pp. 539–546.
SIGIR-2008-WanY #analysis #clustering #multi #summary #using: Multi-document summarization using cluster-based link analysis (XW, JY), pp. 299–306.
SIGIR-2008-YasukawaY #clustering #mobile: Clustering search results for mobile terminals (MY, HY), p. 880.
SIGIR-2008-ZhangHZ #clustering #comparative #documentation #evaluation: A comparative evaluation of different link types on enhancing document clustering (XZ, XH, XZ), pp. 555–562.
SAC-2008-AntonellisMT #clustering #documentation #named #summary #using #xml: XEdge: clustering homogeneous and heterogeneous XML documents using edge summaries (PA, CM, NT), pp. 1081–1088.
SAC-2008-AquinoFNFLF #clustering #network #reduction: Sensor stream reduction for clustered wireless sensor networks (ALLdA, CMSF, EFN, ACF, AAFL, AOF), pp. 2052–2056.
SAC-2008-ChidlovskiiL08a #clustering #coordination #visual notation: Semi-supervised visual clustering for spherical coordinates systems (BC, LL), pp. 891–895.
SAC-2008-CostaMO #approach #clustering #modelling: A hierarchical model-based approach to co-clustering high-dimensional data (GC, GM, RO), pp. 886–890.
SAC-2008-KeeneyJRLO #clustering #knowledge-based #semantics: Knowledge-based semantic clustering (JK, DJ, DR, DL, DO), pp. 460–467.
SAC-2008-LeoneS #clustering #network #process #scalability: Interacting urns processes: for clustering of large-scale networks of tiny artifacts (PL, EMS), pp. 2046–2051.
SAC-2008-MattosLFM #clustering #documentation #framework #named: BigBatch: a document processing platform for clusters and grids (GdOM, RDL, AdAF, FMJM), pp. 434–441.
SAC-2008-MeiraM #clustering #problem: A continuous facility location problem and its application to a clustering problem (LAAM, FKM), pp. 1826–1831.
SAC-2008-PalmaBKA #approach #clustering: A clustering-based approach for discovering interesting places in trajectories (ATP, VB, BK, LOA), pp. 863–868.
SAC-2008-SpinosaCG #clustering #concept #data type #detection #network #novel: Cluster-based novel concept detection in data streams applied to intrusion detection in computer networks (EJS, ACPLFdC, JG), pp. 976–980.
SAC-2008-SungCM #clustering #concept #learning #lifecycle #ontology #performance #using #web: Efficient concept clustering for ontology learning using an event life cycle on the web (SS, SC, DM), pp. 2310–2314.
SPLC-2008-NiuE #analysis #clustering #functional #on-demand #product line #requirements: On-Demand Cluster Analysis for Product Line Functional Requirements (NN, SME), pp. 87–96.
HPCA-2008-WangC #clustering #feedback #optimisation #performance: Cluster-level feedback power control for performance optimization (XW, MC), pp. 101–110.
HPDC-2008-YanR #automation #clustering #parallel #towards: Toward automatic parallelization of spatial computation for computing clusters (BY, PJR), pp. 45–54.
PPoPP-2008-BocchinoAC #clustering #memory management #scalability #transaction: Software transactional memory for large scale clusters (RLBJ, VSA, BLC), pp. 247–258.
ASE-2007-DuanC #automation #clustering: Clustering support for automated tracing (CD, JCH), pp. 244–253.
CASE-2007-ChanYD #clustering #multi #on the #scheduling #tool support: On the Optimality of One-Unit Cycle Scheduling of Multi-Cluster Tools with Single-Blade Robots (WKC, JY, SD), pp. 392–397.
CASE-2007-ChoDCT #clustering #locality #network #robust: Robust Calibration for Localization in Clustered Wireless Sensor Networks (JJC, YD, YC, JT), pp. 919–924.
CASE-2007-MorrisonM #clustering #on the #throughput #tool support: On the Throughput of Clustered Photolithography Tools: Wafer Advancement and Intrinsic Equipment Loss (JRM, MKM), pp. 88–93.
CASE-2007-YiDZ0 #analysis #clustering #linear #throughput #tool support: Throughput Analysis of Linear Cluster Tools (JY, SD, MTZ, PvdM), pp. 1063–1068.
DAC-2007-Ozdal #clustering: Escape Routing For Dense Pin Clusters In Integrated Circuits (MMO), pp. 49–54.
DATE-2007-SathanurCBMMP #bound #clustering #interactive #performance: Interactive presentation: Efficient computation of discharge current upper bounds for clustered sleep transistor sizing (AVS, AC, LB, AM, EM, MP), pp. 1544–1549.
DATE-2007-Scholzel #clustering #interactive: Interactive presentation: Time-constrained clustering for DSE of clustered VLIW-ASP (MS), pp. 467–472.
DRR-2007-HeD #adaptation #clustering #corpus #retrieval: Combining text clustering and retrieval for corpus adaptation (FH, XD).
HT-2007-GuerreroCPMM #approach #automation #clustering #semantics: Clustering as an approach to support the automatic definition of semantic hyperlinks (JACG, AAC, MdGCP, EVM, AAM), pp. 81–84.
ICDAR-2007-XiCLWSJ07a #clustering #segmentation: Character Line Segmentation Based on Feature Clustering (YX, YC, QL, LW, FS, DJ), pp. 402–406.
PODS-2007-ChierichettiPRSTU #clustering: Finding near neighbors through cluster pruning (FC, AP, PR, MS, AT, EU), pp. 103–112.
SIGMOD-2007-LeeHW #clustering #framework: Trajectory clustering: a partition-and-group framework (JGL, JH, KYW), pp. 593–604.
SIGMOD-2007-LiGLSZ #clustering #database #named #parallel: InfiniteDB: a pc-cluster based parallel massive database management system (JL, HG, JL, SS, WZ), pp. 899–909.
SIGMOD-2007-LiWLWC #clustering #ranking: Supporting ranking and clustering as generalized order-by and group-by (CL, MW, LL, HW, KCCC), pp. 127–138.
SIGMOD-2007-MiloZV #clustering #topic: Boosting topic-based publish-subscribe systems with dynamic clustering (TM, TZ, EV), pp. 749–760.
SIGMOD-2007-YangDHP #clustering #named #relational #scalability: Map-reduce-merge: simplified relational data processing on large clusters (HcY, AD, RLH, DSPJ), pp. 1029–1040.
VLDB-2007-BansalCKT #clustering: Seeking Stable Clusters in the Blogosphere (NB, FC, NK, FWT), pp. 806–817.
VLDB-2007-BhattacharjeeMLMKBK #clustering #multi #performance: Efficient Bulk Deletes for Multi Dimensionally Clustered Tables in DB2 (BB, TM, SL, SM, JAK, RVB, JK), pp. 1197–1206.
FASE-2007-ZhouY #approach #clustering #design #object-oriented: A Clustering-Based Approach for Tracing Object-Oriented Design to Requirement (XZ, HY), pp. 412–422.
WCRE-J-2005-AndreopoulosATW07 #clustering #multi #scalability: Clustering large software systems at multiple layers (BA, AA, VT, XW), pp. 244–254.
WCRE-J-2005-ChristlKS07 #automation #clustering: Automated clustering to support the reflexion method (AC, RK, MADS), pp. 255–274.
WCRE-J-2005-KuhnDG07 #clustering #identification #semantics #source code #topic: Semantic clustering: Identifying topics in source code (AK, SD, TG), pp. 230–243.
WCRE-2007-SchaferAMMO #clustering #framework #generative: Clustering for Generating Framework Top-Level Views (TS, IA, MM, MM, KO), pp. 239–248.
CHI-2007-CuiWXTT #clustering #interactive #named #ranking: EasyAlbum: an interactive photo annotation system based on face clustering and re-ranking (JC, FW, RX, YT, XT), pp. 367–376.
CHI-2007-WangJHDZ #clustering #image #named #semantics #web: IGroup: presenting web image search results in semantic clusters (SW, FJ, JH, QD, LZ), pp. 587–596.
DHM-2007-GeraciLMPR #algorithm #array #clustering #scalability: FPF-SB : A Scalable Algorithm for Microarray Gene Expression Data Clustering (FG, ML, MM, MP, MER), pp. 606–615.
CIKM-2007-FanizzidE #clustering #concept #induction #knowledge base #metric #random #semantics: Randomized metric induction and evolutionary conceptual clustering for semantic knowledge bases (NF, Cd, FE), pp. 51–60.
CIKM-2007-LiA #approach #clustering #multi #named #relational: Diva: a variance-based clustering approach for multi-type relational data (TL, SSA), pp. 147–156.
CIKM-2007-ParkL #clustering #data type: Grid-based subspace clustering over data streams (NHP, WSL), pp. 801–810.
CIKM-2007-RosenfeldF #clustering #identification: Clustering for unsupervised relation identification (BR, RF), pp. 411–418.
CIKM-2007-TanMG #clustering #crawling #design #policy #web: Designing clustering-based web crawling policies for search engine crawlers (QT, PM, CLG), pp. 535–544.
ECIR-2007-CachedaCPO #clustering #comparison #information retrieval #performance: Performance Comparison of Clustered and Replicated Information Retrieval Systems (FC, VC, VP, IO), pp. 124–135.
ECIR-2007-DalmauF #approach #clustering: Experimental Results of the Signal Processing Approach to Distributional Clustering of Terms on Reuters-21578 Collection (MCD, ÓWMF), pp. 678–681.
ECIR-2007-LiuYZQM #clustering #optimisation #performance #scalability: Fast Large-Scale Spectral Clustering by Sequential Shrinkage Optimization (TYL, HYY, XZ, TQ, WYM), pp. 319–330.
ECIR-2007-RoullandKCRGPO #clustering #query #refinement #using: Query Reformulation and Refinement Using NLP-Based Sentence Clustering (FR, ANK, SC, CR, AG, KP, JO), pp. 210–221.
ECIR-2007-SevillanoCAS #architecture #clustering #documentation #robust: A Hierarchical Consensus Architecture for Robust Document Clustering (XS, GC, FA, JCS), pp. 741–744.
ECIR-2007-ZhuTZM #clustering #documentation #multi #probability: A Probabilistic Model for Clustering Text Documents with Multiple Fields (SZ, IT, SZ, HM), pp. 331–342.
ICML-2007-AimeurBG #algorithm #clustering #quantum: Quantum clustering algorithms (EA, GB, SG), pp. 1–8.
ICML-2007-BusseOB #analysis #clustering #rank: Cluster analysis of heterogeneous rank data (LMB, PO, JMB), pp. 113–120.
ICML-2007-DavidsonR #clustering #constraints: Intractability and clustering with constraints (ID, SSR), pp. 201–208.
ICML-2007-DingL #adaptation #analysis #clustering #reduction #using: Adaptive dimension reduction using discriminant analysis and K-means clustering (CHQD, TL), pp. 521–528.
ICML-2007-GriraH #clustering #heuristic: Best of both: a hybridized centroid-medoid clustering heuristic (NG, MEH), pp. 313–320.
ICML-2007-HaiderBS #clustering #detection #email #streaming: Supervised clustering of streaming data for email batch detection (PH, UB, TS), pp. 345–352.
ICML-2007-LiCFX #clustering: Support cluster machine (BL, MC, JF, XX), pp. 505–512.
ICML-2007-LongZWY #clustering #relational #symmetry: Relational clustering by symmetric convex coding (BL, Z(Z, XW, PSY), pp. 569–576.
ICML-2007-NelsonC #clustering #constraints #modelling #probability: Revisiting probabilistic models for clustering with pair-wise constraints (BN, IC), pp. 673–680.
ICML-2007-RattiganMJ #clustering #graph #network: Graph clustering with network structure indices (MJR, MEM, DJ), pp. 783–790.
ICML-2007-SongSGB #clustering #dependence: A dependence maximization view of clustering (LS, AJS, AG, KMB), pp. 815–822.
ICML-2007-ZhangTK #clustering: Maximum margin clustering made practical (KZ, IWT, JTK), pp. 1119–1126.
ICML-2007-ZhouB #clustering #learning #multi: Spectral clustering and transductive learning with multiple views (DZ, CJCB), pp. 1159–1166.
KDD-2007-AggarwalTWFZ #clustering #documentation #framework #named #xml: Xproj: a framework for projected structural clustering of xml documents (CCA, NT, JW, JF, MJZ), pp. 46–55.
KDD-2007-ChenT #clustering #realtime: Density-based clustering for real-time stream data (YC, LT), pp. 133–142.
KDD-2007-ChenZYL #adaptation #clustering #distance #learning #metric: Nonlinear adaptive distance metric learning for clustering (JC, ZZ, JY, HL), pp. 123–132.
KDD-2007-ChiSZHT #clustering: Evolutionary spectral clustering by incorporating temporal smoothness (YC, XS, DZ, KH, BLT), pp. 153–162.
KDD-2007-DaiXYY #classification #clustering #documentation: Co-clustering based classification for out-of-domain documents (WD, GRX, QY, YY), pp. 210–219.
KDD-2007-DavidsonRE #clustering #incremental #performance: Efficient incremental constrained clustering (ID, SSR, ME), pp. 240–249.
KDD-2007-DeodharG #clustering #framework #learning: A framework for simultaneous co-clustering and learning from complex data (MD, JG), pp. 250–259.
KDD-2007-GeEJD #clustering #constraints: Constraint-driven clustering (RG, ME, WJ, ID), pp. 320–329.
KDD-2007-JanssensGM #analysis #clustering #hybrid #mining: Dynamic hybrid clustering of bioinformatics by incorporating text mining and citation analysis (FALJ, WG, BDM), pp. 360–369.
KDD-2007-LiuJJ #clustering #constraints #named: BoostCluster: boosting clustering by pairwise constraints (YL, RJ, AKJ), pp. 450–459.
KDD-2007-LongZY #clustering #framework #probability #relational: A probabilistic framework for relational clustering (BL, Z(Z, PSY), pp. 470–479.
KDD-2007-MoserGE #analysis #clustering #specification: Joint cluster analysis of attribute and relationship data withouta-priori specification of the number of clusters (FM, RG, ME), pp. 510–519.
KDD-2007-Schickel-ZuberF #clustering #learning #recommendation #using: Using hierarchical clustering for learning theontologies used in recommendation systems (VSZ, BF), pp. 599–608.
KDD-2007-ShigaTM #approach #clustering #composition #network: A spectral clustering approach to optimally combining numericalvectors with a modular network (MS, IT, HM), pp. 647–656.
KDD-2007-TangWXZ #clustering #perspective: Enhancing semi-supervised clustering: a feature projection perspective (WT, HX, SZ, JW), pp. 707–716.
KDD-2007-XuYFS #algorithm #clustering #named #network: SCAN: a structural clustering algorithm for networks (XX, NY, ZF, TAJS), pp. 824–833.
MLDM-2007-GrimH #analysis #category theory #clustering: Minimum Information Loss Cluster Analysis for Categorical Data (JG, JH), pp. 233–247.
MLDM-2007-HuWW #clustering: Varying Density Spatial Clustering Based on a Hierarchical Tree (XH, DW, XW), pp. 188–202.
MLDM-2007-Jain #clustering: Data Clustering: User’s Dilemma (AKJ), p. 1.
MLDM-2007-KyrgyzovKMC #clustering #kernel: Kernel MDL to Determine the Number of Clusters (IOK, OOK, HM, MC), pp. 203–217.
MLDM-2007-SaittaRS #bound #clustering: A Bounded Index for Cluster Validity (SS, BR, IFCS), pp. 174–187.
MLDM-2007-SakaiIKH #clustering: Critical Scale for Unsupervised Cluster Discovery (TS, AI, TK, SH), pp. 218–232.
MLDM-2007-SuarezM #algorithm #clustering: A Clustering Algorithm Based on Generalized Stars (APS, JEMP), pp. 248–262.
RecSys-2007-AngladeTV #clustering #identification: Complex-network theoretic clustering for identifying groups of similar listeners in p2p systems (AA, MT, FV), pp. 41–48.
RecSys-2007-HarperSF #clustering #recommendation #social: Supporting social recommendations with activity-balanced clustering (FMH, SS, DF), pp. 165–168.
RecSys-2007-NathansonBG #adaptation #clustering #recommendation #using: Eigentaste 5.0: constant-time adaptability in a recommender system using item clustering (TN, EB, KYG), pp. 149–152.
SIGIR-2007-AltingovdeOOCU #clustering #retrieval #scalability: Large-scale cluster-based retrieval experiments on Turkish texts (ISA, RO, HCO, FC, ÖU), pp. 891–892.
SIGIR-2007-BanerjeeRG #clustering #using #wiki: Clustering short texts using wikipedia (SB, KR, AG), pp. 787–788.
SIGIR-2007-Feng #clustering #documentation #optimisation #problem: Document clustering: an optimization problem (AF), pp. 819–820.
SIGIR-2007-KyriakopoulouK #classification #clustering #using: Using clustering to enhance text classification (AK, TK), pp. 805–806.
SIGIR-2007-LiQLY #categorisation #clustering #detection: Detecting, categorizing and clustering entity mentions in Chinese text (WL, DQ, QL, CY), pp. 647–654.
SIGIR-2007-SevillanoAS #clustering #named: BordaConsensus: a new consensus function for soft cluster ensembles (XS, FA, JCS), pp. 743–744.
SIGIR-2007-Wan #clustering #documentation #evaluation #named #using: OMES: a new evaluation strategy using optimal matching for document clustering (XW), pp. 693–694.
SIGIR-2007-WangZL #clustering #documentation: Regularized clustering for documents (FW, CZ, TL), pp. 95–102.
SIGIR-2007-WanY #clustering #collaboration #documentation #multi #named: CollabSum: exploiting multiple document clustering for collaborative single document summarizations (XW, JY), pp. 143–150.
SAC-2007-AppelPSTT #clustering: Biased box sampling — a density-biased sampling for clustering (APA, AAP, EPMdS, AJMT, CTJ), pp. 445–446.
SAC-2007-LamprierALS #clustering #named #segmentation: ClassStruggle: a clustering based text segmentation (SL, TA, BL, FS), pp. 600–604.
SAC-2007-LiuMB #approach #clustering: A clustering entropy-driven approach for exploring and exploiting noisy functions (SHL, MM, BRB), pp. 738–742.
SAC-2007-SpinosaCG #approach #clustering #concept #data type #detection #named: OLINDDA: a cluster-based approach for detecting novelty and concept drift in data streams (EJS, ACPdLFdC, JG), pp. 448–452.
SAC-2007-ZhangXLY #clustering #modelling: Improved structural modeling based on conserved domain clusters and structure-anchored alignments (FZ, LX, ZL, BY), pp. 128–132.
CGO-2007-AletaCGK #architecture #clustering: Heterogeneous Clustered VLIW Microarchitectures (AA, JMC, AG, DRK), pp. 354–366.
CGO-2007-CodinaSG #clustering #graph #scheduling: Virtual Cluster Scheduling Through the Scheduling Graph (JMC, FJS, AG), pp. 89–101.
HPDC-2007-ShankarD #clustering #data-driven #workflow: Data driven workflow planning in cluster management systems (SS, DJD), pp. 127–136.
LCTES-2007-YanL #architecture #clustering #execution: Stream execution on wide-issue clustered VLIW architectures (SY, BL), pp. 158–160.
PPoPP-2007-Hoeflinger #clustering #programming: Programming with cluster openMP (JH), p. 270.
PPoPP-2007-MohrorK #case study #clustering #linux: A study of tracing overhead on a high-performance linux cluster (KM, KLK), pp. 158–159.
CASE-2006-DingYZA #clustering #evaluation #multi #nondeterminism #optimisation #performance #process #tool support: Performance Evaluation and Schedule Optimization of Multi-Cluster Tools with Process Times Uncertainty (SD, JY, MTZ, RAT), pp. 112–117.
CASE-2006-LeeLS #clustering #graph: Token delays and generalized workload balancing for timed event graphs with application to cluster tool operation (TEL, HYL, RSS), pp. 93–99.
CASE-2006-WuZ #clustering #constraints #petri net #scheduling #tool support: Schedulability and Scheduling of Dual-Arm Cluster Tools with Residency Time Constraints Based on Petri Net (NW, MZ), pp. 87–92.
DAC-2006-LinCC #clustering #optimisation: Optimal simultaneous mapping and clustering for FPGA delay optimization (JYL, DC, JC), pp. 472–477.
DAC-2006-RadT #clustering #hybrid: A new hybrid FPGA with nanoscale clusters and CMOS routing (RMR, MT), pp. 727–730.
DATE-2006-KandemirCLIK #clustering #process: Activity clustering for leakage management in SPMs (MTK, GC, FL, MJI, IK), pp. 696–697.
DATE-DF-2006-ArifinC #adaptation #clustering #implementation #logic #novel #segmentation: A novel FPGA-based implementation of time adaptive clustering for logical story unit segmentation (SA, PYKC), pp. 227–232.
DRR-2006-RahmanKAA #clustering #collaboration #documentation #library: Document clustering: applications in a collaborative digital library (FR, AK, YTA, HA).
PODS-2006-AggarwalFKKPTZ #clustering: Achieving anonymity via clustering (GA, TF, KK, SK, RP, DT, AZ), pp. 153–162.
PODS-2006-GollapudiKS #clustering #programmable: Programmable clustering (SG, RK, DS), pp. 348–354.
VLDB-2006-CandanHCTA #adaptation #clustering #named #xml: AFilter: Adaptable XML Filtering with Prefix-Caching and Suffix-Clustering (KSC, WPH, SC, JT, DA), pp. 559–570.
VLDB-2006-HokeSF #clustering #monitoring #named #scalability: InteMon: Intelligent System Monitoring on Large Clusters (EH, JS, CF), pp. 1239–1242.
VLDB-2006-YinHY #clustering #named #performance #semantics: LinkClus: Efficient Clustering via Heterogeneous Semantic Links (XY, JH, PSY), pp. 427–438.
CSMR-2006-WierdaDS #architecture #case study #clustering #using: Using Version Information in Architectural Clustering — A Case Study (AW, ED, LJS), pp. 214–228.
ICPC-2006-KothariSMH #clustering #evolution #using: Studying the Evolution of Software Systems Using Change Clusters (JK, AS, SM, AEH), pp. 46–55.
ICEIS-AIDSS-2006-HuynhGB #clustering #metric: Discovering the Stable Clusters between Interestingness Measures (HXH, FG, HB), pp. 196–201.
ICEIS-HCI-2006-CoppolaCMFP #clustering #distance #empirical: A Fuzzy-Based Distance to Improve Empirical Methods for Menu Clustering (CC, GC, SDM, FF, TP), pp. 59–64.
CIKM-2006-AngelovaS #approach #clustering #documentation: A neighborhood-based approach for clustering of linked document collections (RA, SS), pp. 778–779.
CIKM-2006-ChuHCC #clustering #on the: On subspace clustering with density consciousness (YHC, JWH, KTC, MSC), pp. 804–805.
CIKM-2006-DangLLHC #clustering #similarity: Query-specific clustering of search results based on document-context similarity scores (EKFD, RWPL, DLL, KSH, SCfC), pp. 886–887.
CIKM-2006-GoldinMN #algorithm #clustering #distance #sequence: In search of meaning for time series subsequence clustering: matching algorithms based on a new distance measure (DQG, RM, GN), pp. 347–356.
CIKM-2006-HuZZ #array #clustering #identification #integration #mining: Integration of cluster ensemble and EM based text mining for microarray gene cluster identification and annotation (XH, XZ, XZ), pp. 824–825.
CIKM-2006-JainZC #adaptation #clustering #data type: Adaptive non-linear clustering in data streams (AJ, ZZ, EYC), pp. 122–131.
CIKM-2006-LiuJK #clustering #query: Measuring the meaning in time series clustering of text search queries (BL, RJ, KLK), pp. 836–837.
CIKM-2006-QamraTC #clustering #mining #using: Mining blog stories using community-based and temporal clustering (AQ, BLT, EYC), pp. 58–67.
CIKM-2006-SahooCKDP #clustering #documentation #incremental: Incremental hierarchical clustering of text documents (NS, JC, RK, GTD, RP), pp. 357–366.
CIKM-2006-VardeRRBMS #clustering #design #semantics: Designing semantics-preserving cluster representatives for scientific input conditions (ASV, EAR, CR, DCB, MM, RDSJ), pp. 708–717.
CIKM-2006-YanCL #clustering #transaction: Efficiently clustering transactional data with weighted coverage density (HY, KC, LL), pp. 367–376.
CIKM-2006-YangJZNX #clustering #documentation #ranking #using #validation: Document re-ranking using cluster validation and label propagation (LY, DHJ, GZ, NY, GX), pp. 690–697.
ECIR-2006-CarpinetoPMR #clustering #mobile: Mobile Clustering Engine (CC, ADP, SM, GR), pp. 155–166.
ECIR-2006-NaughtonKC #clustering: Clustering Sentences for Discovering Events in News Articles (MN, NK, JC), pp. 535–538.
ECIR-2006-Osinski #approximate #clustering #matrix #quality: Improving Quality of Search Results Clustering with Approximate Matrix Factorisations (SO), pp. 167–178.
ECIR-2006-SanJuanI #clustering #documentation: Phrase Clustering Without Document Context (ES, FIS), pp. 496–500.
ECIR-2006-SmithR #clustering #navigation #online: Clustering-Based Searching and Navigation in an Online News Source (SCS, MAR), pp. 143–154.
ICML-2006-AzranG #approach #clustering #data-driven: A new approach to data driven clustering (AA, ZG), pp. 57–64.
ICML-2006-Carreira-Perpinan #clustering #parametricity #performance: Fast nonparametric clustering with Gaussian blurring mean-shift (MÁCP), pp. 153–160.
ICML-2006-Elkan #approximate #clustering #documentation #multi: Clustering documents with an exponential-family approximation of the Dirichlet compound multinomial distribution (CE), pp. 289–296.
ICML-2006-GreeneC #clustering #documentation #kernel #problem: Practical solutions to the problem of diagonal dominance in kernel document clustering (DG, PC), pp. 377–384.
ICML-2006-LongZWY #clustering #multi #relational: Spectral clustering for multi-type relational data (BL, Z(Z, XW, PSY), pp. 585–592.
ICML-2006-LuV #clustering: Combined central and subspace clustering for computer vision applications (LL, RV), pp. 593–600.
ICML-2006-SrebroSR #clustering: An investigation of computational and informational limits in Gaussian mixture clustering (NS, GS, STR), pp. 865–872.
ICML-2006-TorreK #analysis #clustering: Discriminative cluster analysis (FDlT, TK), pp. 241–248.
ICML-2006-TsudaK #clustering #graph #mining: Clustering graphs by weighted substructure mining (KT, TK), pp. 953–960.
ICPR-v1-2006-AsharafM #clustering #scalability #using: Scalable non-linear Support Vector Machine using hierarchical clustering (SA, MNM), pp. 908–911.
ICPR-v1-2006-BhattacharyaRD #clustering #fuzzy #image #representation #retrieval #semantics #using: Image Representation and Retrieval Using Support Vector Machine and Fuzzy C-means Clustering Based Semantical Spaces (PB, MMR, BCD), pp. 929–935.
ICPR-v1-2006-BouguessaWJ #algorithm #clustering: A K-means-based Algorithm for Projective Clustering (MB, SW, QJ), pp. 888–891.
ICPR-v1-2006-CaoH #clustering: Nonlinear Manifold Clustering By Dimensionality (WC, RMH), pp. 920–924.
ICPR-v1-2006-FredJ #clustering #learning #similarity: Learning Pairwise Similarity for Data Clustering (ALNF, AKJ), pp. 925–928.
ICPR-v1-2006-HansenMT #analysis #clustering #re-engineering #sorting: Cluster Analysis and Priority Sorting in Huge Point Clouds for Building Reconstruction (WvH, EM, UT), pp. 23–26.
ICPR-v1-2006-HanXG #clustering #segmentation #video: Video Foreground Segmentation Based on Sequential Feature Clustering (MH, WX, YG), pp. 492–496.
ICPR-v1-2006-KimC #ambiguity #clustering #permutation: ICA-Based Clustering for Resolving Permutation Ambiguity in Frequency-Domain Convolutive Source Separation (MK, SC), pp. 950–954.
ICPR-v1-2006-LamY #algorithm #calculus #clustering: Improved Clustering Algorithm Based on Calculus of Variation (BSYL, HY), pp. 900–903.
ICPR-v1-2006-Li #algorithm #clustering #performance: A clustering Based Color Model and Fast Algorithm for Object Tracking (PL), pp. 671–674.
ICPR-v1-2006-LiHH #clustering: A Coarse-to-Fine Strategy for Vehicle Motion Trajectory Clustering (XL, WH, WH), pp. 591–594.
ICPR-v1-2006-LiuPHCB #clustering #detection: Detecting Virulent Cells of Cryptococcus Neoformans Yeast: Clustering Experiments (JL, PvdP, FH, XC, TB), pp. 1112–1115.
ICPR-v1-2006-MollerR #approach #clustering #nearest neighbour: A Cluster Validity Approach based on Nearest-Neighbor Resampling (UM, DR), pp. 892–895.
ICPR-v1-2006-OngB #clustering #learning: Learning Wormholes for Sparsely Labelled Clustering (EJO, RB), pp. 916–919.
ICPR-v1-2006-PrehnS #adaptation #algorithm #classification #clustering #incremental #robust #using: An Adaptive Classification Algorithm Using Robust Incremental Clustering (HP, GS), pp. 896–899.
ICPR-v1-2006-RiponTKI #algorithm #clustering #multi #search-based #using: Multi-Objective Evolutionary Clustering using Variable-Length Real Jumping Genes Genetic Algorithm (KSNR, CHT, SK, MKI), pp. 1200–1203.
ICPR-v1-2006-ViswanathP #clustering #hybrid #performance: l-DBSCAN : A Fast Hybrid Density Based Clustering Method (PV, RP), pp. 912–915.
ICPR-v1-2006-WenGL #clustering #detection #markov #monte carlo: Markov Chain Monte Carlo Data Association for Merge and Split Detection in Tracking Protein Clusters (QW, JG, KLP), pp. 1030–1033.
ICPR-v2-2006-BhattacharyaRD06a #clustering #fuzzy #image #representation #retrieval #semantics #using: Image Representation and Retrieval Using Support Vector Machine and Fuzzy C-means Clustering Based Semantical Spaces (PB, MMR, BCD), pp. 1162–1168.
ICPR-v2-2006-ChoL #clustering #identification #image #novel: A novel Virus Infection Clustering for Flower Images Identification (SYC, PTL), pp. 1038–1041.
ICPR-v2-2006-FerchichiW #2d #3d #algorithm #clustering: A Clustering-based Algorithm for Extracting the Centerlines of 2D and 3D Objects (SF, SW), pp. 296–299.
ICPR-v2-2006-Gil-GarciaBP #algorithm #clustering #framework: A General Framework for Agglomerative Hierarchical Clustering Algorithms (RGG, JMBC, APP), pp. 569–572.
ICPR-v2-2006-Maruyama #clustering #configuration management #hardware #image #realtime: Real-time K-Means Clustering for Color Images on Reconfigurable Hardware (TM), pp. 816–819.
ICPR-v2-2006-SadriSB #clustering #recognition: A New Clustering Method for Improving Plasticity and Stability in Handwritten Character Recognition Systems (JS, CYS, TDB), pp. 1130–1133.
ICPR-v2-2006-ScarpaH #clustering #independence #segmentation: Unsupervised Texture Segmentation by Spectral-Spatial-Independent Clustering (GS, MH), pp. 151–154.
ICPR-v2-2006-Sternby #clustering #refinement: Class Dependent Cluster Refinement (JS), pp. 833–836.
ICPR-v2-2006-UsoPSG #clustering #multi #using: Clustering-based multispectral band selection using mutual information (AMU, FP, JMS, PGS), pp. 760–763.
ICPR-v2-2006-ViswanathJ #clustering #performance: A Fast and Efficient Ensemble Clustering Method (PV, KJ), pp. 720–723.
ICPR-v2-2006-YangLWW #clustering #markov #robust: Robust Clustering based on Winner-Population Markov Chain (FWY, HJL, PSPW, HHW), pp. 589–592.
ICPR-v2-2006-YuW #algorithm #clustering #named #realtime #scalability #set: GCA: A real-time grid-based clustering algorithm for large data set (ZY, HSW), pp. 740–743.
ICPR-v3-2006-BaldacciGLR #approach #clustering: A Template-Matching Approach for Protein Surface Clustering (LB, MG, AL, SR), pp. 340–343.
ICPR-v3-2006-HanD #array #clustering #modelling #parametricity: Semi-Parametric Model-Based Clustering for DNA Microarray Data (BH, LSD), pp. 324–327.
ICPR-v3-2006-HuRH #approach #clustering #robust: An Interweaved HMM/DTW Approach to Robust Time Series Clustering (JH, BKR, LH), pp. 145–148.
ICPR-v3-2006-HuS06a #classification #clustering #functional #image #normalisation: Normalization of Functional Magnetic Resonance Images by Classified Cerebrospinal Fluid Cluster (ZH, PS), pp. 938–941.
ICPR-v3-2006-JainHSVHG #algorithm #clustering #hybrid #recursion #sequence: A Hybrid, Recursive Algorithm for Clustering Expressed Sequence Tags in Chlamydomonas reinhardtii (MJ, HJH, JS, OV, CH, AG), pp. 404–407.
ICPR-v3-2006-JainML #clustering #feedback: Bayesian Feedback in Data Clustering (AKJ, PKM, MHCL), pp. 374–378.
ICPR-v3-2006-KyanG #clustering #self: Local Variance Driven Self-Organization for Unsupervised Clustering (MJK, LG), pp. 421–424.
ICPR-v3-2006-QiuXT #clustering #feedback #kernel #performance #using: Efficient Relevance Feedback Using Semi-supervised Kernel-specified K-means Clustering (BQ, CX, QT), pp. 316–319.
ICPR-v3-2006-RipsL #clustering: The Twin Towers Cluster in Torah Codes (ER, AL), pp. 408–411.
ICPR-v3-2006-VlietF #analysis #clustering #multi: Multi-orientation analysis by decomposing the structure tensor and clustering (LJvV, FGAF), pp. 856–860.
ICPR-v3-2006-ZhangHT #clustering #comparison #metric #similarity: Comparison of Similarity Measures for Trajectory Clustering in Outdoor Surveillance Scenes (ZZ, KH, TT), pp. 1135–1138.
ICPR-v3-2006-ZhangSZS #approach #clustering #geometry #image: A Global Geometric Approach for Image Clustering (SZ, CS, ZZ, ZS), pp. 1244–1247.
ICPR-v4-2006-FengL #clustering #graph #self: Self-Validated and Spatially Coherent Clustering with Net-Structured MRF and Graph Cuts (WF, ZQL), pp. 37–40.
ICPR-v4-2006-KwonYKL #clustering #using: Fingerprint Matching Method Using Minutiae Clustering and Warping (DK, IDY, DHK, SUL), pp. 525–528.
ICPR-v4-2006-ZhangSZS06a #approach #clustering #geometry #image: A Global Geometric Approach for Image Clustering (SZ, CS, ZZ, ZS), p. 960.
ICPR-v4-2006-ZhaoSC #clustering #using: Fingerprint Registration Using Minutia Clusters and Centroid Structure 1 (DZ, FS, AC), pp. 413–416.
KDD-2006-AchtertBKKZ #clustering #correlation #modelling: Deriving quantitative models for correlation clusters (EA, CB, HPK, PK, AZ), pp. 4–13.
KDD-2006-BohmFPP #clustering #robust: Robust information-theoretic clustering (CB, CF, JYP, CP), pp. 65–75.
KDD-2006-ChakrabartiKT #clustering: Evolutionary clustering (DC, RK, AT), pp. 554–560.
KDD-2006-DingLPP #clustering #matrix #orthogonal: Orthogonal nonnegative matrix t-factorizations for clustering (CHQD, TL, WP, HP), pp. 126–135.
KDD-2006-GaoGEJ #clustering: Discovering significant OPSM subspace clusters in massive gene expression data (BJG, OLG, ME, SJMJ), pp. 922–928.
KDD-2006-LiuZWMP #clustering #difference #order #set: Clustering pair-wise dissimilarity data into partially ordered sets (JL, QZ, WW, LM, JP), pp. 637–642.
KDD-2006-NathBM #approach #classification #clustering #scalability #using: Clustering based large margin classification: a scalable approach using SOCP formulation (JSN, CB, MNM), pp. 674–679.
KDD-2006-SpiliopoulouNTS #clustering #modelling #monitoring #named: MONIC: modeling and monitoring cluster transitions (MS, IN, YT, RS), pp. 706–711.
KDD-2006-XiongWC #clustering #metric #perspective #validation: K-means clustering versus validation measures: a data distribution perspective (HX, JW, JC), pp. 779–784.
KDD-2006-YooHS #clustering #graph #integration #refinement #representation #semantics: Integration of semantic-based bipartite graph representation and mutual refinement strategy for biomedical literature clustering (IY, XH, IYS), pp. 791–796.
KDD-2006-ZhangCWZ #clustering #concept #identification: Identifying bridging rules between conceptual clusters (SZ, FC, XW, CZ), pp. 815–820.
SEKE-2006-WuHY #clustering #ranking: Salient Phrases-based Clustering and Ranking in Chinese Bulletin Board System (XW, SH, YY), pp. 73–78.
SIGIR-2006-AlonsoG #clustering #using: Clustering of search results using temporal attributes (OA, MG), pp. 597–598.
SIGIR-2006-HuangM #clustering #feedback: Text clustering with extended user feedback (YH, TMM), pp. 413–420.
SIGIR-2006-JiX #clustering #documentation #information management: Document clustering with prior knowledge (XJ, WX), pp. 405–412.
SIGIR-2006-KurlandL #clustering #exclamation #modelling: Respect my authority!: HITS without hyperlinks, utilizing cluster-based language models (OK, LL), pp. 83–90.
SIGIR-2006-LiuC #clustering #representation #retrieval: Representing clusters for retrieval (XL, WBC), pp. 671–672.
SIGIR-2006-SevillanoCAS #clustering #documentation #robust: Feature diversity in cluster ensembles for robust document clustering (XS, GC, FA, JCS), pp. 697–698.
SIGIR-2006-TreeratpitukC #automation #case study #clustering #statistics #using: An experimental study on automatically labeling hierarchical clusters using statistical features (PT, JPC), pp. 707–708.
SIGIR-2006-YangC #clustering #detection: Near-duplicate detection by instance-level constrained clustering (HY, JPC), pp. 421–428.
SAC-2006-GaberY #approach #clustering #data type #framework #information management #resource management: A framework for resource-aware knowledge discovery in data streams: a holistic approach with its application to clustering (MMG, PSY), pp. 649–656.
SAC-2006-GeraciPPS #algorithm #clustering #scalability #web: A scalable algorithm for high-quality clustering of web snippets (FG, MP, PP, FS), pp. 1058–1062.
SAC-2006-HabichWLP #clustering #set: Two-phase clustering strategy for gene expression data sets (DH, TW, WL, CP), pp. 145–150.
SAC-2006-HadiET #clustering #summary #video: Video summarization by k-medoid clustering (YH, FE, ROHT), pp. 1400–1401.
SAC-2006-NemalhabibS #algorithm #category theory #clustering #dataset #named: CLUC: a natural clustering algorithm for categorical datasets based on cohesion (AN, NS), pp. 637–638.
SAC-2006-OliveiraPCA #clustering #database #equivalence: Revisiting 1-copy equivalence in clustered databases (RCO, JP, ACJ, EA), pp. 728–732.
HPDC-2006-LopesM #clustering #file system #parallel: Cooperative Caching in the pCFS parallel Cluster File System (PAL, PDM), pp. 347–348.
HPDC-2006-WuB #adaptation #clustering #performance: Improving I/O Performance of Clustered Storage Systems by Adaptive Request Distribution (CW, RCB), pp. 207–217.
PPoPP-2006-ChristodoulopoulouMBA #clustering #performance: Fast and transparent recovery for continuous availability of cluster-based servers (RC, KM, AB, CA), pp. 221–229.
PPoPP-2006-ManassievMA #clustering #concurrent #distributed #memory management #transaction: Exploiting distributed version concurrency in a transactional memory cluster (KM, MM, CA), pp. 198–208.
PPoPP-2006-SpringerLRF #clustering #energy #execution #source code: Minimizing execution time in MPI programs on an energy-constrained, power-scalable cluster (RS, DKL, BR, VWF), pp. 230–238.
WICSA-2005-VasconcelosW #approach #architecture #clustering #independence #set #towards: Towards a Set of Application Independent Clustering Criteria within an Architecture Recovery Approach (APVdV, CW), pp. 235–236.
DAC-2005-TomL #clustering #design #logic #scalability: Logic block clustering of large designs for channel-width constrained FPGAs (MT, GGL), pp. 726–731.
DATE-2005-GangwarBPK #architecture #clustering #evaluation: Evaluation of Bus Based Interconnect Mechanisms in Clustered VLIW Architectures (AG, MB, PRP, AK), pp. 730–735.
DATE-2005-LiC #analysis #clustering #hybrid #sequence: Hybrid BIST Based on Repeating Sequences and Cluster Analysis (LL, KC), pp. 1142–1147.
DocEng-2005-KerneKSM #clustering #generative #hypermedia #semantics: Generative semantic clustering in spatial hypertext (AK, EK, VS, JMM), pp. 84–93.
DRR-2005-LiuD #automation #clustering #image: Automatic style clustering of printed characters in form images (CL, XD), pp. 175–182.
ICDAR-2005-BarbuHAT #clustering #documentation #image #representation #using: Clustering document images using a bag of symbols representation (EB, PH, SA, ÉT), pp. 1216–1220.
ICDAR-2005-BulacuS #clustering #comparison #identification #verification: A Comparison of Clustering Methods for Writer Identification and Verification (MB, LS), pp. 1275–1279.
ICDAR-2005-Mancas-ThillouG #clustering #distance #image: Color Text Extraction from Camera-based Images the Impact of the Choice of the Clustering Distance (CMT, BG), pp. 312–316.
ICDAR-2005-SaoiGK #clustering #detection #image #multi: Text Detection in Color Scene Images based on Unsupervised Clustering of Multi-channel Wavelet Features (TS, HG, HK), pp. 690–694.
PODS-2005-ChengVKW #clustering: A divide-and-merge methodology for clustering (DC, SV, RK, GW), pp. 196–205.
SIGMOD-2005-TungXO #clustering #correlation #named #visualisation: CURLER: Finding and Visualizing Nonlinear Correlated Clusters (AKHT, XX, BCO), pp. 467–478.
SIGMOD-2005-ZhaoZ #3d #algorithm #array #clustering #effectiveness #mining #named: TriCluster: An Effective Algorithm for Mining Coherent Clusters in 3D Microarray Data (LZ, MJZ), pp. 694–705.
VLDB-2005-RonstromO #clustering: Recovery Principles in MySQL Cluster 5.1 (MR, JO), pp. 1108–1115.
FASE-2005-ChangHK #clustering #component #identification: A Tool to Automate Component Clustering and Identification (SHC, MJH, SDK), pp. 141–144.
CSMR-2005-RousidisT #case study #clustering #java #maintenance #source code: Clustering Data Retrieved from Java Source Code to Support Software Maintenance: A Case Study (DR, CT), pp. 276–279.
CSMR-2005-XiaoT #clustering #dependence: Software Clustering Based on Dynamic Dependencies (CX, VT), pp. 124–133.
ICSM-2005-BinkleyH #clustering #dependence: Locating Dependence Clusters and Dependence Pollution (DB, MH), pp. 177–186.
ICSM-2005-LuoZS #clustering #composition #identification #object-oriented: A Hierarchical Decomposition Method for Object-Oriented Systems Based on Identifying Omnipresent Clusters (JL, LZ, JS), pp. 647–650.
ICSM-2005-WuHH #algorithm #clustering #comparison #evolution: Comparison of Clustering Algorithms in the Context of Software Evolution (JW, AEH, RCH), pp. 525–535.
ICSM-2005-ZhaoZMS #clustering #requirements: Requirements Guided Dynamic Software Clustering (WZ, LZ, HM, JS), pp. 605–608.
IWPC-2005-BeyerN #clustering: Clustering Software Artifacts Based on Frequent Common Changes (DB, AN), pp. 259–268.
IWPC-2005-WenT #clustering #detection: Software Clustering based on Omnipresent Object Detection (ZW, VT), pp. 269–278.
WCRE-2005-AndreopoulosATW #clustering #multi #scalability: Multiple Layer Clustering of Large Software Systems (BA, AA, VT, XW), pp. 79–88.
WCRE-2005-ChristlKS #automation #clustering: Equipping the Reflexion Method with Automated Clustering (AC, RK, MADS), pp. 89–98.
WCRE-2005-KuhnDG #clustering #reverse engineering #semantics: Enriching Reverse Engineering with Semantic Clustering (AK, SD, TG), pp. 133–142.
STOC-2005-AilonCN #clustering #consistency #ranking: Aggregating inconsistent information: ranking and clustering (NA, MC, AN), pp. 684–693.
ICALP-2005-KumarSS #algorithm #clustering #linear #problem: Linear Time Algorithms for Clustering Problems in Any Dimensions (AK, YS, SS), pp. 1374–1385.
VISSOFT-2005-LunguKGL #clustering #interactive #semantics: Interactive Exploration of Semantic Clusters (ML, AK, TG, ML), pp. 95–100.
SIGAda-2005-AlexandrID #ada #analysis #clustering #performance #source code: Experimental performance analysis of ada programs in cluster system (KA, SI, KD), pp. 31–36.
ICEIS-v1-2005-FengWM #clustering #hybrid: A Hybrid Clustering Criterion for R*-Tree on Business Data (YF, ZW, AM), pp. 346–352.
ICEIS-v2-2005-CarrascoVG #clustering #using: Using DMFSQL for Financial Clustering (RAC, MAVM, JG), pp. 135–141.
ICEIS-v2-2005-HuynhGB #clustering #metric: Clustering Interestingness Measures with Positive Correaltion (HXH, FG, HB), pp. 248–253.
ICEIS-v2-2005-KumarKDB #clustering #mining #using #web: Web Usage Mining Using Rough Agglomerative Clustering (PK, PRK, SKD, RSB), pp. 315–320.
ICEIS-v2-2005-SantosPS #clustering #data mining #framework #mining #modelling: A Cluster Framework for Data Mining Models — An Application to Intensive Medicine (MFS, JP, ÁMS), pp. 163–168.
CIKM-2005-BambaRM #clustering #named #query: OSQR: overlapping clustering of query results (BB, PR, MKM), pp. 239–240.
CIKM-2005-KriegelP #clustering #distributed #effectiveness #performance: Efficient and effective server-sided distributed clustering (HPK, MP), pp. 339–340.
CIKM-2005-LiC #clustering #documentation #sequence #word: Text document clustering based on frequent word sequences (YL, SMC), pp. 293–294.
CIKM-2005-MiaoKM #clustering #comparative #documentation #evaluation #n-gram #using: Document clustering using character N-grams: a comparative evaluation with term-based and word-based clustering (YM, VK, EEM), pp. 357–358.
CIKM-2005-OrlandicLY #clustering #effectiveness #performance #reduction #using: Clustering high-dimensional data using an efficient and effective data space reduction (RO, YL, WGY), pp. 201–208.
CIKM-2005-XiongLZ #clustering #network #parallel: Supporting ranked search in parallel search cluster networks (FX, QL, DJZ), pp. 263–264.
ECIR-2005-AminiUG #algorithm #automation #clustering #ranking #summary: Automatic Text Summarization Based on Word-Clusters and Ranking Algorithms (MRA, NU, PG), pp. 142–156.
ECIR-2005-DingCZ #analysis #clustering #concept #detection #video: Temporal Shot Clustering Analysis for Video Concept Detection (DD, LC, BZ), pp. 558–560.
ICML-2005-BekkermanEM #clustering #interactive #multi: Multi-way distributional clustering via pairwise interactions (RB, REY, AM), pp. 41–48.
ICML-2005-BreitenbachG #clustering #ranking: Clustering through ranking on manifolds (MB, GZG), pp. 73–80.
ICML-2005-FinleyJ #clustering: Supervised clustering with support vector machines (TF, TJ), pp. 217–224.
ICML-2005-GuptaG #clustering #hybrid #robust #using: Robust one-class clustering using hybrid global and local search (GG, JG), pp. 273–280.
ICML-2005-HellerG #clustering: Bayesian hierarchical clustering (KAH, ZG), pp. 297–304.
ICML-2005-JoachimsH #bound #clustering #correlation #fault: Error bounds for correlation clustering (TJ, JEH), pp. 385–392.
ICML-2005-KulisBDM #approach #clustering #graph #kernel: Semi-supervised graph clustering: a kernel approach (BK, SB, ISD, RJM), pp. 457–464.
ICML-2005-Meila #axiom #clustering #perspective: Comparing clusterings: an axiomatic view (MM), pp. 577–584.
ICML-2005-ZhouLZ #clustering #distance #metric: A new Mallows distance based metric for comparing clusterings (DZ, JL, HZ), pp. 1028–1035.
KDD-2005-BanerjeeKGBM #clustering #modelling: Model-based overlapping clustering (AB, CK, JG, SB, RJM), pp. 532–537.
KDD-2005-DhillonGK #algorithm #clustering #graph #kernel #multi #performance: A fast kernel-based multilevel algorithm for graph clustering (ISD, YG, BK), pp. 629–634.
KDD-2005-GaoLZCM #clustering #consistency #graph #higher-order #semistructured data: Consistent bipartite graph co-partitioning for star-structured high-order heterogeneous data co-clustering (BG, TYL, XZ, QC, WYM), pp. 41–50.
KDD-2005-GionisHPT #clustering: Dimension induced clustering (AG, AH, SP, PT), pp. 51–60.
KDD-2005-GondekH #clustering: Non-redundant clustering with conditional ensembles (DG, TH), pp. 70–77.
KDD-2005-JagannathanW #clustering #distributed #privacy: Privacy-preserving distributed k-means clustering over arbitrarily partitioned data (GJ, RNW), pp. 593–599.
KDD-2005-KriegelP #clustering #nondeterminism: Density-based clustering of uncertain data (HPK, MP), pp. 672–677.
KDD-2005-Li #clustering: A general model for clustering binary data (TL), pp. 188–197.
KDD-2005-LongZY #clustering #composition: Co-clustering by block value decomposition (BL, Z(Z, PSY), pp. 635–640.
KDD-2005-NeillMSD #clustering #detection: Detection of emerging space-time clusters (DBN, AWM, MS, KD), pp. 218–227.
KDD-2005-SanghaiSDK #architecture #clustering #design #multi #performance #simulation: A multinomial clustering model for fast simulation of computer architecture designs (KS, TS, JGD, DRK), pp. 808–813.
KDD-2005-SurdeanuTA #approach #clustering #documentation #hybrid: A hybrid unsupervised approach for document clustering (MS, JT, AA), pp. 685–690.
KDD-2005-YinHY #clustering: Cross-relational clustering with user’s guidance (XY, JH, PSY), pp. 344–353.
KDD-2005-ZakiPAS #algorithm #category theory #clustering #dataset #effectiveness #mining #named: CLICKS: an effective algorithm for mining subspace clusters in categorical datasets (MJZ, MP, IA, TS), pp. 736–742.
MLDM-2005-BarbuHAT #clustering #documentation #graph #image #summary #using: Clustering Document Images Using Graph Summaries (EB, PH, SA, ÉT), pp. 194–202.
MLDM-2005-CandillierTTB #clustering #named #statistics: SSC: Statistical Subspace Clustering (LC, IT, FT, OB), pp. 100–109.
MLDM-2005-DuKAB #algorithm #clustering #encoding #multi #search-based: Alternative Clustering by Utilizing Multi-objective Genetic Algorithm with Linked-List Based Chromosome Encoding (JD, EEK, RA, KB), pp. 346–355.
MLDM-2005-EickRBV #assessment #clustering #distance #similarity #using: Using Clustering to Learn Distance Functions for Supervised Similarity Assessment (CFE, AR, AB, RV), pp. 120–131.
MLDM-2005-GiacintoPR #clustering #detection #network: Alarm Clustering for Intrusion Detection Systems in Computer Networks (GG, RP, FR), pp. 184–193.
MLDM-2005-HalveyKS #clustering #internet #navigation #predict #using: Birds of a Feather Surf Together: Using Clustering Methods to Improve Navigation Prediction from Internet Log Files (MH, MTK, BS), pp. 174–183.
MLDM-2005-HammoudaMK #clustering #documentation #named: CorePhrase: Keyphrase Extraction for Document Clustering (KMH, DNM, MSK), pp. 265–274.
MLDM-2005-HaralickH #clustering #linear: Linear Manifold Clustering (RMH, RH), pp. 132–141.
MLDM-2005-JanichenP #clustering #concept: Acquisition of Concept Descriptions by Conceptual Clustering (SJ, PP), pp. 153–162.
MLDM-2005-NikulinS #clustering #probability: Universal Clustering with Regularization in Probabilistic Space (VN, AJS), pp. 142–152.
MLDM-2005-SiaL #clustering #dataset #scalability #using: Clustering Large Dynamic Datasets Using Exemplar Points (WS, MML), pp. 163–173.
MLDM-2005-SilvaK #clustering #distributed: Inference on Distributed Data Clustering (JCdS, MK), pp. 610–619.
SIGIR-2005-KurlandLD #clustering #modelling #pseudo #using: Better than the real thing?: iterative pseudo-query processing using cluster-based language models (OK, LL, CD), pp. 19–26.
SIGIR-2005-XueLYXZYC #clustering #collaboration #scalability #using: Scalable collaborative filtering using cluster-based smoothing (GRX, CL, QY, WX, HJZ, YY, ZC), pp. 114–121.
OOPSLA-2005-CharlesGSDKEPS #approach #clustering #named #object-oriented: X10: an object-oriented approach to non-uniform cluster computing (PC, CG, VAS, CD, AK, KE, CvP, VS), pp. 519–538.
RE-2005-ChenZZM #approach #clustering #feature model #modelling #requirements: An Approach to Constructing Feature Models Based on Requirements Clustering (KC, WZ, HZ, HM), pp. 31–40.
SAC-2005-FalcoTCG #algorithm #clustering #search-based: A new variable-length genome genetic algorithm for data clustering in semeiotics (IDF, ET, ADC, FG), pp. 923–927.
SAC-2005-FalcoTCG05a #approach #clustering #grammarware #novel #programming #search-based: A novel grammar-based genetic programming approach to clustering (IDF, ET, ADC, FG), pp. 928–932.
SAC-2005-HanMZTGZ #clustering #documentation #metadata #rule-based #word: Rule-based word clustering for document metadata extraction (HH, EM, HZ, KT, CLG, XZ), pp. 1049–1053.
SAC-2005-HuangSMZGGP #approach #clustering #predict: A clustering-based approach for prediction of cardiac resynchronization therapy (HH, LS, FM, SZ, MG, LG, JDP), pp. 260–266.
SAC-2005-KankarM #clustering #summary #visualisation: Text-based summarization and visualization of gene clusters (PK, SM), pp. 210–211.
SAC-2005-LeeWC #clustering #performance: Rearranging data objects for efficient and stable clustering (GL, XW, JC), pp. 519–523.
SAC-2005-McPhersonMO #clustering #graph #parametricity #social: Discovering parametric clusters in social small-world graphs (JM, KLM, MO), pp. 1231–1238.
SAC-2005-OcaGA #algorithm #classification #clustering #network: An hybridization of an ant-based clustering algorithm with growing neural gas networks for classification tasks (MAMdO, LG, JLA), pp. 9–13.
SAC-2005-Ordonez #clustering: A model for association rules based on clustering (CO), pp. 545–546.
SAC-2005-TangV #approach #clustering #documentation: An artificial immune system approach to document clustering (NT, VRV), pp. 918–922.
SAC-2005-WangP #clustering: Tree-based clustering for gene expression data (BW, WP), pp. 204–205.
SAC-2005-XiaoLJ #clustering #on the #problem #scheduling: On unit task linear-nonlinear two-cluster scheduling problem (ZX, WNL, JJFJ), pp. 713–717.
SAC-2005-ZhengZOMF #clustering #network: Node clustering based on link delay in P2P networks (WZ, SZ, YO, FM, JF), pp. 744–749.
HPDC-2005-BatsakisB #clustering #fault tolerance: Cluster delegation: high-performance, fault-tolerant data sharing in NFS (AB, RCB), pp. 100–109.
HPDC-2005-RanjanBH #clustering #distributed: A model for cooperative federation of distributed clusters (RR, RB, AH), pp. 295–296.
HPDC-2005-TierneyG #clustering #workflow: Techniques for tuning workflows in cluster environments (BT, DKG), pp. 303–305.
LCTES-2005-XuZRMM #clustering #embedded #energy #policy: Energy-efficient policies for embedded clusters (RX, DZ, CR, RGM, DM), pp. 1–10.
PPoPP-2005-FreehL #clustering #energy #multi #source code #using: Using multiple energy gears in MPI programs on a power-scalable cluster (VWF, DKL), pp. 164–173.
PPoPP-2005-HeathDCMB #clustering #energy: Energy conservation in heterogeneous server clusters (TH, BD, EVC, WMJ, RB), pp. 186–195.
SOSP-2005-CohenZGSKF #clustering: Capturing, indexing, clustering, and retrieving system history (IC, SZ, MG, JS, TK, AF), pp. 105–118.
DATE-v2-2004-PopEPIHB #clustering #design #embedded #multi #optimisation #realtime: Design Optimization of Multi-Cluster Embedded Systems for Real-Time Application (PP, PE, ZP, VI, MH, OB), pp. 1027–1033.
DRR-2004-PengHL #automation #clustering #component #image: Automatic content extraction of filled-form images based on clustering component block projection vectors (HP, XH, FL), pp. 204–214.
PODS-2004-AgarwalM #clustering: k-Means Projective Clustering (PKA, NHM), pp. 155–165.
PODS-2004-ZhouW #clustering #matrix: Clustering via Matrix Powering (HZ, DPW), pp. 136–142.
SIGMOD-2004-BohmKKZ #clustering #correlation: Computing Clusters of Correlation Connected Objects (CB, KK, PK, AZ), pp. 455–466.
SIGMOD-2004-NassarSC #clustering #effectiveness #incremental #summary: Incremental and Effective Data Summarization for Dynamic Hierarchical Clustering (SN, JS, CC), pp. 467–478.
SIGMOD-2004-QianZZ #approach #clustering #effectiveness #named #performance: FAÇADE: A Fast and Effective Approach to the Discovery of Dense Clusters in Noisy Spatial Data (YQ, GZ, KZ), pp. 921–922.
SIGMOD-2004-WuYDM #approach #clustering #interactive #interface #query #web: An Interactive Clustering-based Approach to Integrating Source Query interfaces on the Deep Web (WW, CTY, AD, WM), pp. 95–106.
SIGMOD-2004-YiuM #clustering #network: Clustering Objects on a Spatial Network (MLY, NM), pp. 443–454.
VLDB-2004-AggarwalHWY #clustering #data type #framework: A Framework for Projected Clustering of High Dimensional Data Streams (CCA, JH, JW, PSY), pp. 852–863.
VLDB-2004-LightstoneB #automation #clustering #database #design #multi #relational: Automating the design of multi-dimensional clustering tables in relational databases (SL, BB), pp. 1170–1181.
CSMR-2004-BauerT #adaptation #architecture #clustering #object-oriented: Architecture-Aware Adaptive Clustering of OO Systems (MB, MT), pp. 3–14.
CSMR-2004-MaqboolB #algorithm #clustering: The Weighted Combined Algorithm: A Linkage Algorithm for Software Clustering (OM, HAB), pp. 15–24.
CSMR-2004-ZaidmanD #clustering #execution #process: Managing Trace Data Volume through a Heuristical Clustering Process Based on Event Execution Frequency (AZ, SD), pp. 329–338.
IWPC-2004-KanellopoulosT #c++ #clustering #comprehension #data mining #mining #source code: Data Mining Source Code to Facilitate Program Comprehension: Experiments on Clustering Data Retrieved from C++ Programs (YK, CT), pp. 214–225.
IWPC-2004-RiccaTGP #clustering #empirical #keyword #web: An Empirical Study on Keyword-based Web Site Clustering (FR, PT, CG, EP), pp. 204–213.
IWPC-2004-WenT #algorithm #clustering #effectiveness: An Effectiveness Measure for Software Clustering Algorithms (ZW, VT), pp. 194–203.
SCAM-2004-XuLZS #clustering: Program Restructuring Through Clustering Techniques (XX, CHL, MZ, AS), pp. 75–84.
STOC-2004-Har-PeledM #clustering #on the: On coresets for k-means and k-median clustering (SHP, SM), pp. 291–300.
ICALP-2004-CzumajS #approximate #clustering #random: Sublinear-Time Approximation for Clustering Via Random Sampling (AC, CS), pp. 396–407.
CHI-2004-MillerM #clustering: Cluster-based find and replace (RCM, AMM), pp. 57–64.
ICEIS-v2-2004-CastilhoPL #clustering #information management #process: Informed K-Means: A Clustering Process biased by Prior Knowledge (WFC, HAdP, ML), pp. 469–475.
ICEIS-v2-2004-ChenSMA #clustering #modelling #relational: Hierarchical Model-Based Clustering for Relational Data (JC, MS, SIM, KA), pp. 92–97.
ICEIS-v2-2004-SalemSA #clustering #documentation #network: Unsupervised Artificial Neural Networks for Clustering of Document Collections (ABMS, MMS, AFA), pp. 383–392.
ICEIS-v2-2004-TagarelliTG #clustering #linear #mining #programming: Mining Scientific Results Through the Combined Use of Clustering and Linear Programming Techniques (AT, IT, SG), pp. 84–91.
ICEIS-v2-2004-WallaceK #clustering #performance #robust: Robust, Generalized, Quick and Efficient Agglomerative Clustering (MW, SDK), pp. 409–416.
ICEIS-v2-2004-ZaratePSSVD #clustering #network #optimisation #representation #set: Optimization of Neural Network’s Training Sets via Clustering: Application in Solar Collector Representation (LEZ, EMDP, DAS, JPDS, RV, ASCD), pp. 147–152.
CIKM-2004-ChenL #clustering #dataset #named #scalability #visualisation: ClusterMap: labeling clusters in large datasets via visualization (KC, LL), pp. 285–293.
CIKM-2004-ChungJM #clustering #dataset #mining #using: Mining gene expression datasets using density-based clustering (SC, JJ, DM), pp. 150–151.
CIKM-2004-HeTC #approach #clustering #query #web: Organizing structured web sources by query schemas: a clustering approach (BH, TT, KCCC), pp. 22–31.
CIKM-2004-HuangOM #category theory #clustering #difference: Compression schemes for differential categorical stream clustering (WH, EO, LM), pp. 232–233.
CIKM-2004-KoreniusLJJ #clustering #documentation: Stemming and lemmatization in the clustering of finnish text documents (TK, JL, KJ, MJ), pp. 625–633.
CIKM-2004-LiOM #clustering #multi #on the: On combining multiple clusterings (TL, MO, SM), pp. 294–303.
CIKM-2004-MekhaldiLI #clustering #documentation #speech #using: Using bi-modal alignment and clustering techniques for documents and speech thematic segmentations (DM, DL, RI), pp. 69–77.
CIKM-2004-NiuJT #clustering #documentation #validation: Document clustering based on cluster validation (ZYN, DHJ, CLT), pp. 501–506.
CIKM-2004-WangSZCM #clustering #summary #web: Web page clustering enhanced by summarization (XW, DS, HJZ, ZC, WYM), pp. 242–243.
CIKM-2004-ZhaoK #clustering #documentation #summary: Soft clustering criterion functions for partitional document clustering: a summary of results (YZ, GK), pp. 246–247.
ECIR-2004-DobryninPR #clustering #documentation: Contextual Document Clustering (VD, DWP, NR), pp. 167–180.
ECIR-2004-HungWS #bottom-up #clustering #predict #top-down: Predictive Top-Down Knowledge Improves Neural Exploratory Bottom-Up Clustering (CH, SW, PS), pp. 154–166.
ICML-2004-BilenkoBM #clustering #constraints #learning #metric: Integrating constraints and metric learning in semi-supervised clustering (MB, SB, RJM).
ICML-2004-ChangY #adaptation #clustering #linear #metric: Locally linear metric adaptation for semi-supervised clustering (HC, DYY).
ICML-2004-ClimerZ #approach #clustering: Take a walk and cluster genes: a TSP-based approach to optimal rearrangement clustering (SC, WZ).
ICML-2004-DingH #clustering: Linearized cluster assignment via spectral ordering (CHQD, XH).
ICML-2004-DingH04a #analysis #clustering #component: K-means clustering via principal component analysis (CHQD, XH).
ICML-2004-FernB #clustering #graph #problem: Solving cluster ensemble problems by bipartite graph partitioning (XZF, CEB).
ICML-2004-HertzBW #clustering #distance: Boosting margin based distance functions for clustering (TH, ABH, DW).
ICML-2004-LiMO #category theory #clustering: Entropy-based criterion in categorical clustering (TL, SM, MO).
ICML-2004-MannorMHK #abstraction #clustering #learning: Dynamic abstraction in reinforcement learning via clustering (SM, IM, AH, UK).
ICML-2004-NguyenS #clustering #learning #using: Active learning using pre-clustering (HTN, AWMS).
ICML-2004-RosalesAF #clustering #learning #using: Learning to cluster using local neighborhood structure (RR, KA, BJF).
ICPR-v1-2004-JainTLB #algorithm #clustering: Landscape of Clustering Algorithms (AKJ, APT, MHCL, JMB), pp. 260–263.
ICPR-v1-2004-JohnstonFD #clustering #execution #grid #image #performance: An Event-Based Execution Model for Efficient Image Processing on Workstation Clusters and the Grid (DJJ, MF, ACD), pp. 732–735.
ICPR-v1-2004-MaedaKI #clustering #data-driven #database #probability #process #segmentation: Segmentation of Range Data Based on A Stochastic Clustering Method with Competitive Process (MM, KK, KI), pp. 624–627.
ICPR-v1-2004-MiasnikovRH #algorithm #clustering: A Hierarchical Projection Pursuit Clustering Algorithm (ADM, JER, RMH), pp. 268–271.
ICPR-v1-2004-PetrosinoV #algorithm #clustering #fuzzy #named #parallel #scalability: P-AFLC: A Parallel Scalable Fuzzy Clustering Algorithm (AP, MV), pp. 809–812.
ICPR-v1-2004-TopchyMJP #adaptation #clustering: Adaptive Clustering Ensembles (APT, BMB, AKJ, WFP), pp. 272–275.
ICPR-v1-2004-VirmajokiF #algorithm #clustering #divide and conquer #graph: Divide-and-Conquer Algorithm for Creating Neighborhood Graph for Clustering (OV, PF), pp. 264–267.
ICPR-v1-2004-ZhouT #analysis #clustering #coordination #documentation #geometry #re-engineering #visual notation: Coordinate Systems Reconstruction for Graphical Documents by Hough-feature Clustering and Geometric Analysis (YPZ, CLT), pp. 376–379.
ICPR-v2-2004-BuzanSK #clustering #video: Extraction and Clustering of Motion Trajectories in Video (DB, SS, GK), pp. 521–524.
ICPR-v2-2004-HuR #classification #clustering #probability #using: Probability Table Compression Using Distributional Clustering for Scanning N-Tuple Classifiers (JH, ER), pp. 533–536.
ICPR-v2-2004-KoskelaLO #clustering #image #metric #retrieval: Entropy-Based Measures for Clustering and SOM Topology Preservation Applied to Content-Based Image Indexing and Retrieval (MK, JL, EO), pp. 1005–1009.
ICPR-v2-2004-MachadoMC #adaptation #clustering #image #using: The Influence of the Noise in the Restoration of Solar Radio Images using Adaptive Regularization Techniques Based on Clustering (WRSM, NDAM, JERC), pp. 371–374.
ICPR-v2-2004-MitraM #clustering #feature model: Feature Selection and Gene Clustering from Gene Expression Data (PM, DDM), pp. 343–346.
ICPR-v2-2004-Olson #clustering: Pose Clustering Guided by Short Interpretation Trees (CFO), pp. 149–152.
ICPR-v2-2004-VijayaMS #classification #clustering #performance #sequence: An Efficient Technique for Protein Sequence Clustering and Classification (PAV, MNM, DKS), pp. 447–450.
ICPR-v3-2004-DEliaMMPST #classification #clustering #detection #segmentation: Detection of Microcalcifications Clusters in Mammograms through TS-MRF Segmentation and SVM-based Classification (CD, CM, MM, GP, GS, FT), pp. 742–745.
ICPR-v3-2004-KashinoKK #clustering #video: A Quick Video Search Method based on Local and Global Feature Clustering (KK, AK, TK), pp. 894–897.
ICPR-v3-2004-XiangW #clustering #image #segmentation: Range Image Segmentation Based on Split-Merge Clustering (RX, RW), pp. 614–617.
ICPR-v4-2004-Cheung #algorithm #automation #clustering #towards: A Rival Penalized EM Algorithm towards Maximizing Weighted Likelihood for Density Mixture Clustering with Automatic Model Selection (YmC), pp. 633–636.
ICPR-v4-2004-FuYHT #clustering #detection #multi #using: Mixture Clustering Using Multidimensional Histograms for Skin Detection (ZF, JY, WH, TT), pp. 549–552.
ICPR-v4-2004-LiuSCH #clustering #personalisation #using #verification: Personalized Face Verification System Using Owner-Specific Cluster-Dependent LDA-Subspace (HCL, CHS, YHC, YPH), pp. 344–347.
ICPR-v4-2004-NockN #algorithm #clustering #optimisation: Improving Clustering Algorithms through Constrained Convex Optimization (RN, FN), pp. 557–560.
ICPR-v4-2004-ParkJZK #clustering #graph: Support Vector Clustering Combined with Spectral Graph Partitioning (JHP, XJ, HZ, RK), pp. 581–584.
ICPR-v4-2004-QinandS #algorithm #analysis #clustering #kernel: Kernel Neural Gas Algorithms with Application to Cluster Analysis (AKQ, PNS), pp. 617–620.
ICPR-v4-2004-Qiu #clustering #image: Image and Feature Co-Clustering (GQ), pp. 991–994.
ICPR-v4-2004-SamsonB #clustering #learning #parallel #robust #video: Learning Classes for Video Interpretation with a Robust Parallel Clustering Method (VS, PB), pp. 569–572.
ICPR-v4-2004-Syeda-Mahmood #clustering: Order-Preserving Clustering and Its Application to Gene Expression Data (TFSM), pp. 637–640.
ICPR-v4-2004-TothSWA #clustering #detection #using: Detection of Moving Shadows using Mean Shift Clustering and a Significance Test (DT, IS, AW, TA), pp. 260–263.
ICPR-v4-2004-WongCSI #3d #clustering #modelling #retrieval: Indexing and Retrieval of 3D Models by Unsupervised Clustering with Hierarchical SOM (HSW, KKTC, YS, HHSI), pp. 613–616.
ICPR-v4-2004-XuF #clustering #difference: Delta-MSE Dissimilarity in Suboptimal K-Means Clustering (MX, PF), pp. 577–580.
KDD-2004-BagnallJ #clustering #modelling: Clustering time series from ARMA models with clipped data (AJB, GJJ), pp. 49–58.
KDD-2004-BanerjeeDGMM #approach #approximate #clustering #matrix: A generalized maximum entropy approach to bregman co-clustering and matrix approximation (AB, ISD, JG, SM, DSM), pp. 509–514.
KDD-2004-BanerjeeL #clustering #evaluation: An objective evaluation criterion for clustering (AB, JL), pp. 515–520.
KDD-2004-BasuBM #clustering #framework #probability: A probabilistic framework for semi-supervised clustering (SB, MB, RJM), pp. 59–68.
KDD-2004-DhillonGK #clustering #kernel #normalisation: Kernel k-means: spectral clustering and normalized cuts (ISD, YG, BK), pp. 551–556.
KDD-2004-Iyengar #clustering #detection #on the: On detecting space-time clusters (VSI), pp. 587–592.
KDD-2004-JiangPRTZ #array #clustering #mining: Mining coherent gene clusters from gene-sample-time microarray data (DJ, JP, MR, CT, AZ), pp. 430–439.
KDD-2004-LiHY #clustering: Clustering moving objects (YL, JH, JY), pp. 617–622.
KDD-2004-LiuWY #clustering #framework: A framework for ontology-driven subspace clustering (JL, WW, JY), pp. 623–628.
KDD-2004-NeillM #agile #clustering #detection: Rapid detection of significant spatial clusters (DBN, AWM), pp. 256–265.
KDD-2004-Ordonez #algorithm #clustering #programming #sql: Programming the K-means clustering algorithm in SQL (CO), pp. 823–828.
KDD-2004-PavlovBDKP #classification #clustering #documentation #multi #naive bayes #preprocessor: Document preprocessing for naive Bayes classification and clustering with mixture of multinomials (DP, RB, BD, SK, JP), pp. 829–834.
KDD-2004-PopesculU #clustering #concept #learning #relational #statistics: Cluster-based concept invention for statistical relational learning (AP, LHU), pp. 665–670.
KDD-2004-WuGH #clustering #mining #network #using: Mining scale-free networks using geodesic clustering (AYW, MG, JH), pp. 719–724.
SEKE-2004-FoxF #adaptation #clustering #documentation #reduction: Document Clustering with Adaptive Term Weighting and Feature Reduction Capabilities (TWF, BJF), pp. 142–147.
SEKE-2004-JahnkeB #architecture #clustering #reverse engineering #using: Reverse Engineering Software Architecture using Rough Clusters (JHJ, YB), pp. 270–275.
SIGIR-2004-AzmanO #clustering: Discovery of aggregate usage profiles based on clustering information needs (AA, IO), pp. 470–471.
SIGIR-2004-LiMO #adaptation #clustering #documentation: Document clustering via adaptive subspace iteration (TL, SM, MO), pp. 218–225.
SIGIR-2004-LiuC #clustering #modelling #retrieval #using: Cluster-based retrieval using language models (XL, WBC), pp. 186–193.
SIGIR-2004-SiersdorferS #clustering #documentation #self #strict: Restrictive clustering and metaclustering for self-organizing document collections (SS, SS), pp. 226–233.
SIGIR-2004-SilvestriOP #clustering #documentation #identifier: Assigning identifiers to documents to enhance the clustering property of fulltext indexes (FS, SO, RP), pp. 305–312.
SIGIR-2004-XuG #clustering #concept #documentation: Document clustering by concept factorization (WX, YG), pp. 202–209.
SIGIR-2004-YeS #clustering #retrieval: Aggregated feature retrieval for MPEG-7 via clustering (JY, AFS), pp. 514–515.
SIGIR-2004-ZengHCMM #clustering #learning #web: Learning to cluster web search results (HJZ, QCH, ZC, WYM, JM), pp. 210–217.
SAC-2004-BolshakovaAC #array #assessment #clustering: An integrated tool for microarray data clustering and cluster validity assessment (NB, FA, PC), pp. 133–137.
SAC-2004-ChenSMA #clustering #modelling #relational: Hierarchical model-based clustering of relational data with aggregates (JC, MS, SIM, KA), pp. 620–621.
SAC-2004-DingH #clustering #consistency #information management #nearest neighbour #optimisation: K-nearest-neighbor consistency in data clustering: incorporating local information into global optimization (CHQD, XH), pp. 584–589.
SAC-2004-Guo #algorithm #clustering #evaluation #framework #functional: A new framework for clustering algorithm evaluation in the domain of functional genomics (AG), pp. 143–146.
SAC-2004-JuhaszC #clustering #multi #performance: Exploiting fast ethernet performance in multiplatform cluster environment (SJ, HC), pp. 1407–1411.
SAC-2004-KasturiA #clustering #using: Clustering of diverse genomic data using information fusion (JK, RA), pp. 116–120.
SAC-2004-LuLFDB #algorithm #clustering #named #performance #search-based: FGKA: a Fast Genetic K-means Clustering Algorithm (YL, SL, FF, YD, SJB), pp. 622–623.
SAC-2004-QianZ #automation #clustering #named #performance: GraphZip: a fast and automatic compression method for spatial data clustering (YQ, KZ), pp. 571–575.
SAC-2004-UngureanuMBK #clustering: Class-Dependent Assignment in cluster-based servers (VU, BM, PGB, MNK), pp. 1420–1425.
HPDC-2004-ChungH #automation #clustering #performance #web #web service: Automated Cluster-Based Web Service Performance Tuning (IHC, JKH), pp. 36–44.
HPDC-2004-WuB #clustering #consistency #performance: Achieving Performance Consistency in Heterogeneous Clusters (CW, RCB), pp. 140–149.
OSDI-2004-DeanG #clustering #named #pipes and filters #scalability: MapReduce: Simplified Data Processing on Large Clusters (JD, SG), pp. 137–150.
DAC-2003-ChenCCKMSYZ #algebra #clustering #layout #multi: An algebraic multigrid solver for analytical placement with layout based clustering (HC, CKC, NCC, ABK, JFM, PS, BY, ZZ), pp. 794–799.
DAC-2003-HuM #clustering #predict: Wire length prediction based clustering and its application in placement (BH, MMS), pp. 800–805.
DATE-2003-DoboliGD #clustering #modelling #network #using: Extraction of Piecewise-Linear Analog Circuit Models from Trained Neural Networks Using Hidden Neuron Clustering (SD, GG, AD), pp. 11098–11099.
DATE-2003-MaciiMP #clustering #memory management #performance: Improving the Efficiency of Memory Partitioning by Address Clustering (AM, EM, MP), pp. 10018–10023.
DATE-2003-PillaiJ #clustering #scheduling: Compiler-Directed ILP Extraction for Clustered VLIW/EPIC Machines: Predication, Speculation and Modulo Scheduling (SP, MFJ), pp. 10422–10427.
DATE-2003-PopEP #analysis #clustering #distributed #embedded #multi #optimisation #scheduling #synthesis: Schedulability Analysis and Optimization for the Synthesis of Multi-Cluster Distributed Embedded Systems (PP, PE, ZP), pp. 10184–10189.
ICDAR-2003-BrittoSSSB #algorithm #clustering #low cost #parallel #using: A Low-Cost Parallel K-Means VQ Algorithm Using Cluster Computing (AdSBJ, PSLdS, RS, SdRSdS, DLB), pp. 839–843.
ICDAR-2003-GovindarajuT #clustering: Postal address block location by contour clustering (VG, ST), pp. 429–432.
ICDAR-2003-YonekuraF #2d #clustering #segmentation: Postal Envelope Segmentation by 2-D Histogram Clustering through Watershed Transform (EAY, JF), pp. 338–342.
SIGMOD-2003-KimC #adaptation #clustering #feedback #image #named #retrieval #using: Qcluster: Relevance Feedback Using Adaptive Clustering for Content-Based Image Retrieval (DHK, CWC), pp. 599–610.
SIGMOD-2003-PadmanabhanBMCH #clustering #layout #multi: Multi-Dimensional Clustering: A New Data Layout Scheme in DB2 (SP, BB, TM, LC, MH), pp. 637–641.
VLDB-2003-AggarwalHWY #clustering #data type #evolution #framework: A Framework for Clustering Evolving Data Streams (CCA, JH, JW, PSY), pp. 81–92.
VLDB-2003-BhattacharjeePMLCH #clustering #multi #performance #query: Efficient Query Processing for Multi-Dimensionally Clustered Tables in DB2 (BB, SP, TM, TL, LC, MH), pp. 963–974.
VLDB-2003-ZhouS #clustering #metric: Data Bubbles for Non-Vector Data: Speeding-up Hierarchical Clustering in Arbitrary Metric Spaces (JZ, JS), pp. 452–463.
CSMR-2003-AntoniolPN #algorithm #clustering #library #search-based: Moving to Smaller Libraries via Clustering and Genetic Algorithms (GA, MDP, MN), pp. 307–316.
CSMR-2003-SaeedMBHS #algorithm #clustering: Software Clustering Techniques and the Use of Combined Algorithm (MS, OM, HAB, SZH, SMS), pp. 301–306.
ICSM-2003-MahdaviHH #approach #clustering #multi: A Multiple Hill Climbing Approach to Software Module Clustering (KM, MH, RMH), pp. 315–324.
ICSM-2003-Mitchell #approach #clustering #heuristic #problem: A Heuristic Approach to Solving the Software Clustering Problem (BSM), pp. 285–288.
IWPC-2003-ChiricotaJM #clustering #component #graph #using: Software Components Capture Using Graph Clustering (YC, FJ, GM), pp. 217–226.
IWPC-2003-RiccaT #clustering #migration #using #web: Using Clustering to Support the Migration from Static to Dynamic Web Pages (FR, PT), pp. 207–216.
WCRE-2003-AndritsosT #clustering: Software Clustering based on Information Loss Minimization (PA, VT), pp. 334–344.
STOC-2003-CharikarOP #algorithm #clustering #problem #streaming: Better streaming algorithms for clustering problems (MC, LO, RP), pp. 30–39.
STOC-2003-VegaKKR #approximate #clustering #problem: Approximation schemes for clustering problems (WFdlV, MK, CK, YR), pp. 50–58.
ICEIS-v2-2003-HogoLS #clustering #network #using: Conventional Versus Interval Clustering Using Kohonen Networks (MH, PL, MS), pp. 250–257.
ICEIS-v4-2003-LimP #clustering #using #web: Dynamically Reconstructive Web Server Cluster Using a Hierarchical Grouping Mechanism (SiL, MSP), pp. 271–279.
CIKM-2003-AllanFB #clustering #evaluation #flexibility: Flexible intrinsic evaluation of hierarchical clustering for TDT (JA, AF, AB), pp. 263–270.
ECIR-2003-ChenKS #clustering #multi #summary #visualisation: Clustering and Visualization in a Multi-lingual Multi-document Summarization System (HHC, JJK, TCS), pp. 266–280.
ECIR-2003-Masowska #clustering #web: Phrase-Based Hierarchical Clustering of Web Search Results (IM), pp. 555–562.
ICML-2003-FernB03a #approach #clustering #random: Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach (XZF, CEB), pp. 186–193.
ICML-2003-LiuLCM #clustering #evaluation #feature model: An Evaluation on Feature Selection for Text Clustering (TL, SL, ZC, WYM), pp. 488–495.
KDD-2003-AliK #clustering #divide and conquer #using #web: Golden Path Analyzer: using divide-and-conquer to cluster Web clickstreams (KA, SPK), pp. 349–358.
KDD-2003-BanerjeeDGS #clustering #generative #modelling: Generative model-based clustering of directional data (AB, ISD, JG, SS), pp. 19–28.
KDD-2003-ChudovaGMS #clustering #invariant #modelling: Translation-invariant mixture models for curve clustering (DC, SG, EM, PS), pp. 79–88.
KDD-2003-DhillonMM #clustering: Information-theoretic co-clustering (ISD, SM, DSM), pp. 89–98.
KDD-2003-Houle #clustering #navigation #set: Navigating massive data sets via local clustering (MEH), pp. 547–552.
KDD-2003-KorenH #clustering #visualisation: A two-way visualization method for clustered data (YK, DH), pp. 589–594.
KDD-2003-PeterCG #algorithm #clustering #dataset #scalability: New unsupervised clustering algorithm for large datasets (WP, JC, CG), pp. 643–648.
KDD-2003-SahooORGMMVS #clustering #predict #scalability: Critical event prediction for proactive management in large-scale computer clusters (RKS, AJO, IR, MG, JEM, SM, RV, AS), pp. 426–435.
KDD-2003-SteinbachTKKP #clustering #using: Discovery of climate indices using clustering (MS, PNT, VK, SAK, CP), pp. 446–455.
KDD-2003-TantrumMS #assessment #clustering #modelling: Assessment and pruning of hierarchical model based clustering (JT, AM, WS), pp. 197–205.
KDD-2003-VaidyaC #clustering #privacy: Privacy-preserving k-means clustering over vertically partitioned data (JV, CC), pp. 206–215.
KDD-2003-YuYH #clustering #scalability #set #using: Classifying large data sets using SVMs with hierarchical clusters (HY, JY, JH), pp. 306–315.
MLDM-2003-BicegoMF #clustering #markov #modelling #sequence #similarity #using: Similarity-Based Clustering of Sequences Using Hidden Markov Models (MB, VM, MATF), pp. 86–95.
MLDM-2003-RodriguesDFVC #algorithm #analysis #clustering #comparative #profiling: A Comparative Analysis of Clustering Algorithms Applied to Load Profiling (FR, FJFD, VF, ZAV, MC), pp. 73–85.
SEKE-2003-LoC #architecture #clustering #component #design: Application of Clustering Techniques to Component Architecture Design (ScL, JhC), pp. 699–705.
SEKE-2003-MunchHD #clustering: A Practical Way to Use Clustering and Context Knowledge for Software Project Planning (JM, JH, AD), pp. 377–384.
SIGIR-2003-HanMGZ #classification #clustering #rule-based #word: Rule-based word clustering for text classification (HH, EM, CLG, HZ), pp. 445–446.
SIGIR-2003-WangZCLTM #clustering #multi #named: ReCoM: reinforcement clustering of multi-type interrelated data objects (JW, HJZ, ZC, HL, LT, WYM), pp. 274–281.
SIGIR-2003-XuLG #clustering #documentation #matrix: Document clustering based on non-negative matrix factorization (WX, XL, YG), pp. 267–273.
SAC-2003-ChenL #clustering #dataset #visualisation: Cluster Rendering of Skewed Datasets via Visualization (KC, LL), pp. 909–916.
SAC-2003-MancoOS #clustering #similarity #transaction #web: Similarity-Based Clustering of Web Transactions (GM, RO, DS), pp. 1212–1216.
SAC-2003-QianZ #approach #clustering #hybrid: A Customizable Hybrid Approach to Data Clustering (YQ, KZ), pp. 485–489.
CGO-2003-GibertSG #clustering #distributed #memory management #scheduling: Local Scheduling Techniques for Memory Coherence in a Clustered VLIW Processor with a Distributed Data Cache (EG, FJS, AG), pp. 193–203.
HPCA-2003-ChristodoulopoulouAB #approach #clustering #fault tolerance #memory management #replication: Dynamic Data Replication: An Approach to Providing Fault-Tolerant Shared Memory Clusters (RC, RA, AB), pp. 203–214.
HPCA-2003-NagarajaKBMN #architecture #clustering #communication: Evaluating the Impact of Communication Architecture on the Performability of Cluster-Based Services (KN, NK, RB, RPM, TDN), pp. 229–240.
HPCA-2003-TerechkoTGEC #clustering #communication #modelling: Inter-Cluster Communication Models for Clustered VLIW Processors (AT, ELT, MG, JTJvE, HC), pp. 354–364.
HPDC-2003-ChaseIGMS #clustering #grid: Dynamic Virtual Clusters in a Grid Site Manager (JSC, DEI, LEG, JDM, SS), pp. 90–103.
HPDC-2003-SenapathiCSSP #adaptation #clustering #interactive #middleware: QoS-Aware Middleware for Cluster-Based Servers to support Interactive and Resource-Adaptive Applications (SS, BC, DS, HWS, DKP), pp. 205–215.
LCTES-2003-PopEP #clustering #distributed #embedded #multi: Schedulability-driven frame packing for multi-cluster distributed embedded systems (PP, PE, ZP), pp. 113–122.
PPoPP-2003-ChuTYS #clustering #internet #optimisation: Optimizing data aggregation for cluster-based internet services (LC, HT, TY, KS), pp. 119–130.
PPoPP-2003-KarwandeYL #clustering #communication #named #prototype: CC-MPI: a compiled communication capable MPI prototype for ethernet switched clusters (AK, XY, DKL), p. 3.
PPoPP-2003-KarwandeYL03a #clustering #communication #named #prototype: CC-MPI: a compiled communication capable MPI prototype for ethernet switched clusters (AK, XY, DKL), pp. 95–106.
DAC-2002-AnisMEA #automation #clustering #performance #power management #reduction #using: Dynamic and leakage power reduction in MTCMOS circuits using an automated efficient gate clustering technique (MA, MM, MIE, SA), pp. 480–485.
DAC-2002-BonaSSZSZ #clustering #embedded #energy #estimation #optimisation: Energy estimation and optimization of embedded VLIW processors based on instruction clustering (AB, MS, DS, VZ, CS, RZ), pp. 886–891.
DATE-2002-CabodiCQ #clustering #image #scheduling: Dynamic Scheduling and Clustering in Symbolic Image Computation (GC, PC, SQ), pp. 150–156.
SIGMOD-2002-HinneburgKW #clustering #named #visual notation: HD-Eye: visual clustering of high dimensional data (AH, DAK, MW), p. 629.
SIGMOD-2002-ProcopiucJAM #algorithm #clustering #monte carlo #performance: A Monte Carlo algorithm for fast projective clustering (CMP, MJ, PKA, TMM), pp. 418–427.
SIGMOD-2002-WangWYY #clustering #scalability #set #similarity: Clustering by pattern similarity in large data sets (HW, WW, JY, PSY), pp. 394–405.
VLDB-2002-GhoshPSH #clustering #query: Plan Selection Based on Query Clustering (AG, JP, VSS, JRH), pp. 179–190.
VLDB-2002-KarayannidisTSPMRFEB #clustering #query: Processing Star Queries on Hierarchically-Clustered Fact Tables (NK, AT, TKS, RP, VM, FR, RF, KE, RB), pp. 730–741.
VLDB-2002-RohmBSS #clustering #component #coordination #middleware #named: FAS — A Freshness-Sensitive Coordination Middleware for a Cluster of OLAP Components (UR, KB, HJS, HS), pp. 754–765.
IWPC-2002-LuccaFPTC #approach #clustering #web: Comprehending Web Applications by a Clustering Based Approach (GADL, ARF, FP, PT, UdC), pp. 261–270.
WCRE-2002-ShokoufandehMM #clustering: Applying Spectral Methods to Software Clustering (AS, SM, MM), pp. 3–10.
STOC-2002-BadoiuHI #approximate #clustering: Approximate clustering via core-sets (MB, SHP, PI), pp. 250–257.
ICEIS-2002-GharibMT #algorithm #clustering #using: High Dimensional Data Clustering Using SOFM And K-Means Algorithms (TFG, MGM, MFT), pp. 488–493.
ICEIS-2002-SalemEKH #approach #clustering #database: A Density-Based Approach for Clustering Spatial Database (ABMS, TE, MFK, AEH), pp. 418–423.
CIKM-2002-BarbaraLC #algorithm #category theory #clustering #named: COOLCAT: an entropy-based algorithm for categorical clustering (DB, YL, JC), pp. 582–589.
CIKM-2002-HamerlyE #algorithm #clustering: Alternatives to the k-means algorithm that find better clusterings (GH, CE), pp. 600–607.
CIKM-2002-JensenBPGF #algorithm #clustering #documentation #performance: Parallelizing the buckshot algorithm for efficient document clustering (ECJ, SMB, AJP, NG, OF), pp. 684–686.
CIKM-2002-LeeYHY #clustering #effectiveness #integration #named #xml: XClust: clustering XML schemas for effective integration (MLL, LHY, WH, XY), pp. 292–299.
CIKM-2002-OrdonezO #clustering #named #performance #robust #scalability #set: FREM: fast and robust EM clustering for large data sets (CO, EO), pp. 590–599.
CIKM-2002-WangK #clustering #web: Evaluating contents-link coupled web page clustering for web search results (YW, MK), pp. 499–506.
CIKM-2002-ZhaoK #algorithm #clustering #dataset #documentation #evaluation: Evaluation of hierarchical clustering algorithms for document datasets (YZ, GK), pp. 515–524.
ECIR-2002-GaussierGPC #categorisation #clustering #documentation: A Hierarchical Model for Clustering and Categorising Documents (ÉG, CG, KP, FC), pp. 229–247.
ICML-2002-BasuBM #clustering: Semi-supervised Clustering by Seeding (SB, AB, RJM), pp. 27–34.
ICML-2002-KamvarKM #algorithm #approach #clustering #modelling #using: Interpreting and Extending Classical Agglomerative Clustering Algorithms using a Model-Based approach (SDK, DK, CDM), pp. 283–290.
ICML-2002-KleinKM #clustering #constraints #information management: From Instance-level Constraints to Space-Level Constraints: Making the Most of Prior Knowledge in Data Clustering (DK, SDK, CDM), pp. 307–314.
ICML-2002-RaskuttiFK #classification #clustering #parametricity #using: Using Unlabelled Data for Text Classification through Addition of Cluster Parameters (BR, HLF, AK), pp. 514–521.
ICPR-v1-2002-CucchiaraGPSP #clustering #recursion: Building the Topological Tree by Recursive FCM Color Clustering (RC, CG, AP, SS, GP), pp. 759–762.
ICPR-v1-2002-Meas-YedidTO #analysis #clustering #image #markov #random #segmentation: Color Image Segmentation Based on Markov Random Field Clustering for Histological Image Analysis (VMY, ST, JCOM), pp. 796–799.
ICPR-v1-2002-MohantaMA #clustering #image #segmentation: Agglomerative Clustering for Image Segmentation (PPM, DPM, STA), pp. 664–667.
ICPR-v1-2002-MuralikrishnanNR #clustering #correlation #functional #novel #process: Process Mapping and Functional Correlation in Surface Metrology: A Novel Clustering Application (BM, KN, JR), pp. 29–32.
ICPR-v1-2002-NilssonH #clustering #modelling #segmentation: Model-based Segmentation of Leukocytes Clusters (BN, AH), pp. 727–730.
ICPR-v1-2002-SauxB #categorisation #clustering #database #image #robust: Unsupervised Robust Clustering for Image Database Categorization (BLS, NB), pp. 259–262.
ICPR-v2-2002-AbeM #clustering: Clustering-Based Control of Active Contour Model (TA, YM), pp. 663–667.
ICPR-v2-2002-BarataP #classification #clustering #modelling #set #using: Improving Classification Rates by Modelling the Clusters of Trainings Sets in Features Space Using Mathematical Morphology Operators (TB, PP), pp. 328–331.
ICPR-v2-2002-FrantiVK #bound #clustering: Branch-and-Bound Technique for Solving Optimal Clustering (PF, OV, TK), pp. 232–235.
ICPR-v2-2002-KarkkainenF #clustering: Dynamic Local Search for Clustering with Unknown Number of Clusters (IK, PF), pp. 240–243.
ICPR-v2-2002-KimJKS #clustering #detection #segmentation #word: Word Segmentation of Printed Text Lines Based on Gap Clustering and Special Symbol Detection (SHK, CBJ, HKK, CYS), pp. 320–323.
ICPR-v2-2002-QunTHC #algorithm #automation #clustering #identification #using: Automatic Fingerprint Identification Using Cluster Algorithm (QR, JT, YH, JC), pp. 398–401.
ICPR-v2-2002-RendonB #clustering #performance: Fast Hierarchical Clustering Based on Compressed Data (ER, RB), pp. 216–219.
ICPR-v2-2002-ZollerHB #clustering #parametricity #segmentation: Combined Color And Texture Segmentation by Parametric Distributional Clustering (TZ, LH, JMB), pp. 627–630.
ICPR-v3-2002-BresEG #clustering #documentation: Unsupervised Clustering of Text Entities in Heterogeneous Grey Level Documents (SB, VE, AG), pp. 224–227.
ICPR-v3-2002-Cuesta-FrauPAN #case study #clustering #comparative #feature model: Feature Extraction Methods Applied to the Clustering of Electrocardiographic Signals. A Comparative Study (DCF, JCPC, GAG, DN), pp. 961–964.
ICPR-v3-2002-GuestF #analysis #approach #clustering #image: A Clustering Approach to Corner Point Analysis in Hand Drawn Images (RMG, MCF), pp. 940–943.
ICPR-v3-2002-KimCK #automation #clustering #using: Automatic Text Location Using Cluster-Based Template Matching (EYK, JSC, HJK), pp. 423–426.
ICPR-v3-2002-Kwon #classification #clustering #using: Hangul Tree Classifier for Type Clustering Using Horizontal and Vertical Strokes (YBK), pp. 228–231.
ICPR-v3-2002-LiS #clustering #consistency #recognition: Consistent Line Clusters for Building Recognition in CBIR (YL, LGS), pp. 952–956.
ICPR-v3-2002-LiY #clustering #normalisation: Normalized Sampling for Color Clustering in Medical Diagnosis (CHL, PCY), pp. 819–822.
ICPR-v3-2002-Saint-JeanF #algorithm #clustering #robust: A Robust Semi-Supervised EM-Based Clustering Algorithm with a Reject Option (CSJ, CF), pp. 399–402.
ICPR-v3-2002-VuoriL #automation #clustering #comparison: A Comparison of Techniques for Automatic Clustering of Handwritten Characters (VV, JL), pp. 168–171.
ICPR-v4-2002-BarataP02a #classification #clustering #modelling #set #using: Improving Classification Rates by Modelling the Clusters of Trainings Sets in Features Space Using Mathematical Morphology Operators (TB, PP), pp. 90–93.
ICPR-v4-2002-FredJ #clustering #using: Data Clustering Using Evidence Accumulation (ALNF, AKJ), pp. 276–280.
ICPR-v4-2002-IbrahimovSD #analysis #clustering #performance #similarity #topic: The Performance Analysis of a Chi-square Similarity Measure for Topic Related Clustering of Noisy Transcripts (OI, IKS, ND), pp. 285–288.
ICPR-v4-2002-ShiYWZ #clustering: Potential-Based Hierarchical Clustering (SS, GY, DW, WZ), pp. 272–275.
ICPR-v4-2002-ZhangR #clustering #kernel #scalability: A Large Scale Clustering Scheme for Kernel K-Means (RZ, AIR), pp. 289–292.
KDD-2002-AntalGF #clustering #learning #network #on the: On the potential of domain literature for clustering and Bayesian network learning (PA, PG, GF), pp. 405–414.
KDD-2002-BeilEX #clustering: Frequent term-based text clustering (FB, ME, XX), pp. 436–442.
KDD-2002-ChungC #clustering #cvs #information retrieval #named: CVS: a Correlation-Verification based Smoothing technique on information retrieval and term clustering (CYC, BC), pp. 469–474.
KDD-2002-CohenR #clustering #integration #learning #scalability #set: Learning to match and cluster large high-dimensional data sets for data integration (WWC, JR), pp. 475–480.
KDD-2002-DhillonMK #classification #clustering #word: Enhanced word clustering for hierarchical text classification (ISD, SM, RK), pp. 191–200.
KDD-2002-Frigui #approach #clustering #identification #named #performance #scalability #set: SyMP: an efficient clustering approach to identify clusters of arbitrary shapes in large data sets (HF), pp. 507–512.
KDD-2002-KumarPW #clustering #fault: Clustering seasonality patterns in the presence of errors (MK, NRP, JW), pp. 557–563.
KDD-2002-LinC #algorithm #clustering #performance #robust #self: A robust and efficient clustering algorithm based on cohesion self-merging (CRL, MSC), pp. 582–587.
KDD-2002-RaskuttiFK #classification #clustering #using: Combining clustering and co-training to enhance text classification using unlabelled data (BR, HLF, AK), pp. 620–625.
KDD-2002-TantrumMS #clustering #dataset #modelling #scalability: Hierarchical model-based clustering of large datasets through fractionation and refractionation (JT, AM, WS), pp. 183–190.
KDD-2002-YangGY #algorithm #clustering #effectiveness #named #performance #transaction: CLOPE: a fast and effective clustering algorithm for transactional data (YY, XG, JY), pp. 682–687.
SIGIR-2002-LiuGXZ #clustering #documentation #refinement: Document clustering with cluster refinement and model selection capabilities (XL, YG, WX, SZ), pp. 191–198.
SIGIR-2002-PantelL #clustering #documentation: Document clustering with committees (PP, DL), pp. 199–206.
SIGIR-2002-Zha #clustering #summary #using: Generic summarization and keyphrase extraction using mutual reinforcement principle and sentence clustering (HZ), pp. 113–120.
SAC-2002-ChangJ #clustering #data mining #mining #scalability: A new cell-based clustering method for large, high-dimensional data in data mining applications (JWC, DSJ), pp. 503–507.
SAC-2002-GoldmanGBJ #behaviour #clustering #simulation: Individual-based simulation of the clustering behaviour of epidermal growth factor receptors (JPG, WJG, DB, CGJ), pp. 127–131.
SAC-2002-KimL #adaptation #clustering #distance #documentation #effectiveness #metric #using: An effective document clustering method using user-adaptable distance metrics (HjK, SgL), pp. 16–20.
SAC-2002-Sankoff #clustering: Short inversions and conserved gene clusters (DS), pp. 164–167.
SAC-2002-TourinoBDG #analysis #clustering #performance: Performance analysis of MPI-I/O primitives on a PC cluster (JT, JB, RD, VMG), pp. 907–912.
HPCA-2002-CarreraRIB #clustering #communication: User-Level Communication in Cluster-Based Servers (EVC, SR, LI, RB), pp. 275–286.
HPCA-2002-JamiesonB #clustering #concurrent #memory management #named #thread: CableS: Thread Control and Memory Management Extensions for Shared Virtual Memory Clusters (PJ, AB), pp. 263–274.
HPDC-2002-BellCL #clustering: A High-Performance Cluster Storage Server (KB, AAC, ML), pp. 311–320.
HPDC-2002-McCombsS #clustering #network #parallel: Multigrain Parallelism for Eigenvalue Computations on Networks of Clusters (JRM, AS), pp. 143–149.
HPDC-2002-Schulz #clustering #parallel #performance #semantics #using: Using Semantic Information to Guide Efficient Parallel I/O on Clusters (MS), pp. 135–142.
LCTES-SCOPES-2002-KesslerB #architecture #clustering #code generation: Optimal integrated code generation for clustered VLIW architectures (CWK, AB), pp. 102–111.
LCTES-SCOPES-2002-QianCS #architecture #clustering: Loop fusion for clustered VLIW architectures (YQ, SC, PHS), pp. 112–119.
OSDI-2002-ShenTYC #clustering #internet #resource management: Integrated Resource Management for Cluster-based Internet Services (KS, HT, TY, LC), pp. 225–238.
WICSA-2001-MitchellRM #algorithm #architecture #clustering: An Architecture for Distributing the Computation of Software Clustering Algorithms (BSM, MT, SM), pp. 181–190.
ASE-2001-BastenB #clustering #partial order #process #reduction: Enhancing Partial-Order Reduction via Process Clustering (TB, DB), pp. 245–253.
DAC-2001-CongR #clustering #multi: Performance-Driven Multi-Level Clustering with Application to Hierarchical FPGA Mapping (JC, MR), pp. 389–394.
DAC-2001-JacomeVP #architecture #clustering: Clustered VLIW Architectures with Predicated Switching (MFJ, GdV, SP), pp. 696–701.
DAC-2001-LapinskiiJV #clustering: High-Quality Operation Binding for Clustered VLIW Datapaths (VSL, MFJ, GdV), pp. 702–707.
DATE-2001-SaitohAT #clustering #performance #scheduling: Clustering based fast clock scheduling for light clock-tree (MS, MA, AT), pp. 240–245.
DATE-2001-TerechkoPE #architecture #clustering #named: PRMDL: a machine description language for clustered VLIW architectures (AT, EJDP, JTJvE), p. 821.
ICDAR-2001-KimSJL #clustering #segmentation #word: Word Segmentation in Handwritten Korean Text Lines Based on Gap Clustering Techniques (SHK, CYS, SJ, GL), pp. 189–193.
ICDAR-2001-PerroudSBH #clustering #documentation: Text Extraction from Color Documents — Clustering Approaches in Three and Four Dimensions (TP, KS, HB, LOH), pp. 937–941.
ICDAR-2001-ShiOWK #clustering #distance #pseudo #recognition: Clustering with Projection Distance and Pseudo Bayes Discriminant Function for Handwritten Numeral Recognition (MS, WO, TW, FK), pp. 1007–1011.
VLDB-2001-LahiriSCMC #clustering: Cache Fusion: Extending Shared-Disk Clusters with Shared Caches (TL, VS, WC, NM, SC), pp. 683–686.
VLDB-2001-ManolopoulosT #clustering #named: C2P: Clustering based on Closest Pairs (AN, YT, YM), pp. 331–340.
ICSM-2001-MitchellM #algorithm #clustering #metric #similarity #using: Comparing the Decompositions Produced by Software Clustering Algorithms Using Similarity Measurements (BSM, SM), pp. 744–753.
WCRE-2001-MitchellM #benchmark #clustering #framework #metric #named: CRAFT: A Framework for Evaluating Software Clustering Results in the Absence of Benchmark Decompositions (BSM, SM), pp. 93–102.
WCRE-2001-SartipiK #clustering #component: Component Clustering Based on Maximal Association (KS, KK), pp. 103–114.
STOC-2001-BartalCR #approximate #clustering #metric: Approximating min-sum k-clustering in metric spaces (YB, MC, DR), pp. 11–20.
STOC-2001-CharikarP #clustering: Clustering to minimize the sum of cluster diameters (MC, RP), pp. 1–10.
ICEIS-v1-2001-Rao #algorithm #clustering #multi: An Algorithm for Determining Subspaces Containing Clusters with Multiple Minimum Density Thresholds for Numerical Data (PRR), pp. 530–532.
CIKM-2001-GrabsBS #clustering #database #information retrieval #named: PowerDB-IR — Information Retrieval on Top of a Database Cluster (TG, KB, HJS), pp. 411–418.
CIKM-2001-KrishnaK #algorithm #clustering #mining #symmetry: A Clustering Algorithm for Asymmetrically Related Data with Applications to Text Mining (KK, RK), pp. 571–573.
CIKM-2001-Leuski #clustering #documentation #information retrieval #interactive: Evaluating Document Clustering for Interactive Information Retrieval (AL), pp. 33–40.
CIKM-2001-ZhaHDGS #clustering #graph: Bipartite Graph Partitioning and Data Clustering (HZ, XH, CHQD, MG, HDS), pp. 25–32.
ICML-2001-DomingosH #algorithm #clustering #machine learning #scalability: A General Method for Scaling Up Machine Learning Algorithms and its Application to Clustering (PMD, GH), pp. 106–113.
ICML-2001-MarxDB #clustering #detection: Coupled Clustering: a Method for Detecting Structural Correspondence (ZM, ID, JMB), pp. 353–360.
ICML-2001-PellegM #clustering: Mixtures of Rectangles: Interpretable Soft Clustering (DP, AWM), pp. 401–408.
ICML-2001-SebastianiR #clustering: Clustering Continuous Time Series (PS, MR), pp. 497–504.
ICML-2001-WagstaffCRS #clustering: Constrained K-means Clustering with Background Knowledge (KW, CC, SR, SS), pp. 577–584.
KDD-2001-Aggarwal #clustering #effectiveness #human-computer: A human-computer cooperative system for effective high dimensional clustering (CCA), pp. 221–226.
KDD-2001-ChiuFCWJ #algorithm #clustering #database #robust #scalability: A robust and scalable clustering algorithm for mixed type attributes in large database environment (TC, DF, JC, YW, CJ), pp. 263–268.
KDD-2001-Dhillon #clustering #documentation #graph #using #word: Co-clustering documents and words using bipartite spectral graph partitioning (ISD), pp. 269–274.
KDD-2001-HarelK #clustering #random #using: Clustering spatial data using random walks (DH, YK), pp. 281–286.
KDD-2001-KaltonLWY #clustering #learning: Generalized clustering, supervised learning, and data assignment (AK, PL, KW, JPY), pp. 299–304.
KDD-2001-Kandogan #clustering #coordination #multi #roadmap #using #visualisation: Visualizing multi-dimensional clusters, trends, and outliers using star coordinates (EK), pp. 107–116.
MLDM-2001-BhanuD #clustering #concept #feedback #fuzzy #learning: Concepts Learning with Fuzzy Clustering and Relevance Feedback (BB, AD), pp. 102–116.
MLDM-2001-ToivonenVVBV #clustering #documentation #validation: Validation of Text Clustering Based on Document Contents (JT, AV, TV, BB, HV), pp. 184–195.
MLDM-2001-TrinidadS #algorithm #clustering #concept #named: LC: A Conceptual Clustering Algorithm (JFMT, GSD), pp. 117–127.
SIGIR-2001-BekkermanEWT #categorisation #clustering #on the: On Feature Distributional Clustering for Text Categorization (RB, REY, YW, NT), pp. 146–153.
SIGIR-2001-FranzMWZ #clustering #topic: Unsupervised and Supervised Clustering for Topic Tracking (MF, JSM, TW, WJZ), pp. 310–317.
SIGIR-2001-LeeS #clustering #image #learning #retrieval #using: Intelligent Object-based Image Retrieval Using Cluster-driven Personal Preference Learning (KML, WNS), pp. 436–437.
SIGIR-2001-WenZN #clustering #feedback #query #using #word: Query Clustering Using Content Words and User Feedback (JRW, HZ, JYN), pp. 442–443.
SAC-2001-GuptaMP #clustering #data type #distributed #evaluation #performance #scalability: Performance evaluation of the LH*lh scalable, distributed data structure for a cluster of workstations (VG, MM, ADP), pp. 544–548.
SAC-2001-HuangH #approach #clustering: Finding a hamiltonian paths in tournaments on clusters — a provably communication-efficient approach (CHH, XH), pp. 549–553.
SAC-2001-LoiaL #automation #categorisation #clustering #documentation #fuzzy #web: Genetic-based fuzzy clustering for automatic Web document categorization (VL, PL), pp. 477–478.
ICSE-2001-DickinsonLP #analysis #clustering #execution: Finding Failures by Cluster Analysis of Execution Profiles (WD, DL, AP), pp. 339–348.
HPCA-2001-KailasEA #clustering #code generation #framework #named: CARS: A New Code Generation Framework for Clustered ILP Processors (KK, KE, AKA), pp. 133–143.
HPDC-2001-Cuenca-AcunaN #clustering #middleware: Cooperative Caching Middleware for Cluster-Based Servers (FMCA, TDN), pp. 303–314.
HPDC-2001-GavrilovskaSO #adaptation #clustering: Adaptable Mirroring in Cluster Servers (AG, KS, VO), pp. 3–13.
PPoPP-2001-CarreraB #clustering #network #performance: Efficiency vs. portability in cluster-based network servers (EVC, RB), pp. 113–122.
DAC-2000-HarrisT #architecture #clustering #testing: Interconnect testing in cluster-based FPGA architectures (IGH, RT), pp. 49–54.
DAC-2000-McDonaldB #clustering #scheduling #simulation #using: Symbolic timing simulation using cluster scheduling (CBM, REB), pp. 254–259.
DATE-2000-SousaA #clustering #complexity #fault #modelling #using: Reducing the Complexity of Defect Level Modeling Using the Clustering Effect (JTdS, VDA), pp. 640–644.
HT-2000-ModhaS #clustering #hypermedia #web: Clustering hypertext with applications to web searching (DSM, WSS), pp. 143–152.
SIGMOD-2000-AggarwalY #clustering: Finding Generalized Projected Clusters In High Dimensional Spaces (CCA, PSY), pp. 70–81.
SIGMOD-2000-OrdonezC #algorithm #clustering #named #performance #sql #using: SQLEM: Fast Clustering in SQL using the EM Algorithm (CO, PC), pp. 559–570.
SIGMOD-2000-PalmerF #clustering #data mining #mining: Density Biased Sampling: An Improved Method for Data Mining and Clustering (CRP, CF), pp. 82–92.
CSMR-2000-AbreuPS #analysis #approach #clustering #composition #object-oriented: A Coupling-Guided Cluster Analysis Approach to Reengineer the Modularity of Object-Oriented Systems (FBeA, GP, PMAS), pp. 13–22.
IWPC-2000-KoschkeE #clustering #evaluation #framework: A Framework for Experimental Evaluation of Clustering Techniques (RK, TE), pp. 201–210.
IWPC-2000-RaysideRHK #algorithm #automation #clustering #graph #object-oriented #source code: The Effect of Call Graph Construction Algorithms for Object-Oriented Programs on Automatic Clustering (DR, SR, EH, KK), pp. 191–200.
IWPC-2000-TzerposH #algorithm #clustering #on the: On the Stability of Software Clustering Algorithms (VT, RCH), pp. 211–218.
WCRE-2000-DaveyB #clustering: Evaluating the Suitability of Data Clustering for Software Remodularization (JD, EB), p. 268–?.
WCRE-2000-TzerposH #algorithm #clustering #named: ACDC: An Algorithm for Comprehension-Driven Clustering (VT, RCH), pp. 258–267.
STOC-2000-Schulman #clustering: Clustering for edge-cost minimization (extended abstract) (LJS), pp. 547–555.
CIKM-2000-AslamPR #clustering #using: Using Star Clusters for Filtering (JAA, KP, DR), pp. 306–313.
CIKM-2000-BohmBBK #clustering #performance #similarity: High Performance Clustering Based on the Similarity Join (CB, BB, MMB, HPK), pp. 298–305.
CIKM-2000-KimL #clustering #documentation #information management: A Semi-Supervised Document Clustering Technique for Information Organization (HjK, SgL), pp. 30–37.
CIKM-2000-LiuXY #clustering: Clustering Through Decision Tree Construction (BL, YX, PSY), pp. 20–29.
ICML-2000-LiB #approach #clustering #markov #modelling #using: A Bayesian Approach to Temporal Data Clustering using Hidden Markov Models (CL, GB), pp. 543–550.
ICML-2000-NiyogiK #approach #clustering #reduction: An Approach to Data Reduction and Clustering with Theoretical Guarantees (PN, NK), pp. 679–686.
ICML-2000-PaliourasPKS #clustering #community #scalability #web: Clustering the Users of Large Web Sites into Communities (GP, CP, VK, CDS), pp. 719–726.
ICML-2000-PellegM #clustering #estimation #named #performance: X-means: Extending K-means with Efficient Estimation of the Number of Clusters (DP, AWM), pp. 727–734.
ICML-2000-WagstaffC #clustering #constraints: Clustering with Instance-level Constraints (KW, CC), pp. 1103–1110.
ICPR-v1-2000-Abrantes #algorithm #analysis #clustering #multi: A Constrained Clustering Algorithm for Shape Analysis with Multiple Features (AJA), pp. 1912–1919.
ICPR-v1-2000-Boujemaa #clustering #on the: On Competitive Unsupervised Clustering (NB), pp. 1631–1634.
ICPR-v1-2000-GulsrudH #clustering #detection: Optimal Filter for Detection of Clustered Microcalcifications (TOG, JHH), pp. 1508–1511.
ICPR-v1-2000-NoordamBB #clustering #fuzzy #geometry #image #multi #segmentation: Geometrically Guided Fuzzy C-Means Clustering for Multivariate Image Segmentation (JCN, WHAMVdB, LMCB), pp. 1462–1465.
ICPR-v1-2000-RosenbergerC #clustering #estimation #image #segmentation: Unsupervised Clustering Method with Optimal Estimation of the Number of Clusters: Application to Image Segmentation (CR, KC), pp. 1656–1659.
ICPR-v1-2000-SchuppEFHB #clustering #fuzzy #image #modelling #multi #segmentation: Image Segmentation via Multiple Active Contour Models and Fuzzy Clustering with Biomedical Applications (SS, AE, MJF, PH, DB), pp. 1622–1625.
ICPR-v2-2000-Ben-HurSHV #clustering: A Support Vector Clustering Method (ABH, HTS, DH, VV), pp. 2724–2727.
ICPR-v2-2000-BradleyRF #clustering #database #modelling #scalability #using: Clustering Very Large Databases Using EM Mixture Models (PSB, CR, UMF), pp. 2076–2080.
ICPR-v2-2000-BuhmannZ #clustering #learning: Active Learning for Hierarchical Pairwise Data Clustering (JMB, TZ), pp. 2186–2189.
ICPR-v2-2000-FredL #clustering #difference: Clustering Under a Hypothesis of Smooth Dissimilarity Increments (ALNF, JMNL), pp. 2190–2194.
ICPR-v2-2000-GiacintoRF #classification #clustering #design #effectiveness #multi: Design of Effective Multiple Classifier Systems by Clustering of Classifiers (GG, FR, GF), pp. 2160–2163.
ICPR-v2-2000-KabanG #clustering #documentation: Initialized and Guided EM-Clustering of Sparse Binary Data with Application to Text Based Documents (AK, MG), pp. 2744–2747.
ICPR-v2-2000-LawK #clustering #learning #modelling #sequence: Rival Penalized Competitive Learning for Model-Based Sequence Clustering (MHCL, JTK), pp. 2195–2198.
ICPR-v2-2000-MollinedaFV #classification #clustering #prototype: A Cluster-Based Merging Strategy for Nearest Prototype Classifiers (RAM, FJF, EV), pp. 2755–2758.
ICPR-v2-2000-PolickerG #algorithm #clustering #fuzzy #predict: A New Algorithm for Time Series Prediction by Temporal Fuzzy Clustering (SP, ABG), pp. 2728–2731.
ICPR-v2-2000-QianS #clustering: Clustering Combination Method (YQ, CYS), pp. 2732–2735.
ICPR-v2-2000-RibertEL #clustering: Clustering Data: Dealing with High Density Variations (AR, AE, YL), pp. 2736–2739.
ICPR-v2-2000-SanfeliuAS #clustering #graph #synthesis: Clustering of Attributed Graphs and Unsupervised Synthesis of Function-Described Graphs (AS, RA, FS), pp. 6022–6025.
ICPR-v2-2000-UmRK #clustering #comparison #verification: Comparison of Clustering Methods for MLP-Based Speaker Verification (ITU, JHR, MHK), pp. 2475–2474.
ICPR-v2-2000-VinokourovG #clustering #documentation #probability: Probabilistic Hierarchical Clustering Method for Organizing Collections of Text Documents (AV, MG), pp. 2182–2185.
ICPR-v3-2000-LiuL #clustering #image #using: Wavelet Image Coding Using Cluster Growing Embedding (YL, YDL), pp. 3250–3253.
ICPR-v3-2000-LoretteDZ #clustering #fuzzy: Fully Unsupervised Fuzzy Clustering with Entropy Criterion (AL, XD, JZ), pp. 3998–4001.
ICPR-v3-2000-Manduchi #clustering #segmentation: A Cluster Grouping Technique for Texture Segmentation (RM), pp. 7072–7075.
ICPR-v3-2000-PetrosinoC #clustering #fuzzy #parallel #set: Unsupervised Texture Discrimination Based on Rough Fuzzy Sets and Parallel Hierarchical Clustering (AP, MC), pp. 7100–7103.
ICPR-v3-2000-XiongC #algorithm #clustering #database #fuzzy #image #towards: Towards An Unsupervised Optimal Fuzzy Clustering Algorithm for Image Database Organization (XX, KLC), pp. 3909–3912.
ICPR-v3-2000-ZhangW #clustering #image #segmentation: A New Method of Color Image Segmentation Based on Intensity and Hue Clustering (CZ, PSPW), pp. 3617–3620.
ICPR-v4-2000-CordellaTV #clustering: Combining Experts with Different Features for Classifying Clustered Microcalcifications in Mammograms (LPC, FT, MV), pp. 4324–4327.
ICPR-v4-2000-VeneauRB #clustering #segmentation #sequence #video: From Video Shot Clustering to Sequence Segmentation (EV, RR, PB), pp. 4254–4257.
KDD-2000-BarbaraC #clustering #dataset #using: Using the fractal dimension to cluster datasets (DB, PC), pp. 260–264.
KDD-2000-BeefermanB #clustering #query: Agglomerative clustering of a search engine query log (DB, ALB), pp. 407–416.
KDD-2000-CadezGS #clustering #framework #probability: A general probabilistic framework for clustering individuals and objects (IVC, SG, PS), pp. 140–149.
KDD-2000-CadezHMSW #clustering #modelling #navigation #using #visualisation #web: Visualization of navigation patterns on a Web site using model-based clustering (IVC, DH, CM, PS, SW), pp. 280–284.
KDD-2000-McCallumNU #clustering #performance #set: Efficient clustering of high-dimensional data sets with application to reference matching (AM, KN, LHU), pp. 169–178.
SIGIR-2000-HatzivassiloglouGM #algorithm #clustering #documentation #topic: An investigation of linguistic features and clustering algorithms for topical document clustering (VH, LG, AM), pp. 224–231.
SIGIR-2000-Iwayama #clustering #documentation #feedback #incremental: Relevance reedback with a small number of relevance judgements: incremental relevance feedback vs. document clustering (MI), pp. 10–16.
SIGIR-2000-SlonimT #clustering #documentation #using #word: Document clustering using word clusters via the information bottleneck method (NS, NT), pp. 208–215.
PPDP-2000-Faggian #calculus #clustering #commutative #proving: Proof construction and non-commutativity: a cluster calculus (CF), pp. 80–91.
SAC-2000-AlhamedL #analysis #approach #clustering #multi #using: A Clustering Approach to Multi-Model Ensemble Analysis Using SAMEX Data (AA, SL), pp. 111–116.
SAC-2000-BrestVZ #algorithm #clustering #sorting: A Sorting Algorithm on a PC Cluster (JB, AV, VZ), pp. 710–715.
SAC-2000-RudraG #adaptation #clustering #problem: Adaptive Use of a Cluster of PCs for Data Warehousing Applications: Some Problems and Issues (AR, RPG), pp. 698–703.
SAC-2000-WuL #clustering #fuzzy #named #network: F3MCNN: A Fuzzy Minimum Mean Maximum Clustering Neural Network (LGW, HL), pp. 10–14.
HPCA-2000-CanalPG #clustering: Dynamic Cluster Assignment Mechanisms (RC, JMP, AG), pp. 133–142.
HPCA-2000-CappelloRE #clustering #modelling #performance #programming: Investigating the Performance of Two Programming Models for Clusters of SMP PCs (FC, OR, DE), pp. 349–359.
HPDC-2000-AdabalaKF #clustering #network: Interfacing Wide-Area Network Computing and Cluster Management Software: Condor, DQS and PBS via PUNCH (SA, NHK, JABF), pp. 306–307.
HPDC-2000-BianchiniC #clustering #network: Evaluating Cluster-based Network Servers (RB, EVC), pp. 63–70.
HPDC-2000-HeissRN #clustering #distributed #scalability: Distributed Processor Allocation in Large PC Clusters (HUH, CAFDR, POAN), pp. 288–289.
HPDC-2000-HwangJH #array #clustering #distributed #named: RAID-x: A New Distributed Disk Array for I/O-Centric Cluster Computing (KH, HJ, RSCH), pp. 279–286.
HPDC-2000-SumimotoTHHTI #clustering #communication #network #performance #using: High Performance Communication using a Commodity Network for Cluster Systems (SS, HT, AH, HH, TT, YI), pp. 139–146.
HPDC-2000-TanakaHSNS #clustering #evaluation #performance: Performance Evaluation of a Firewall-Compliant Globus-based Wide-Area Cluster System (YT, MH, MS, HN, SS), pp. 121–128.
HPDC-2000-XiaoZK #clustering #memory management #migration #network #ram: Incorporating Job Migration and Network RAM to Share Cluster Memory Resources (LX, XZ, SAK), pp. 71–78.
ASE-1999-MaleticV #analysis #automation #clustering #semantics: Automatic Software Clustering via Latent Semantic Analysis (JIM, NV), pp. 251–254.
ASE-1999-Pecheur #clustering #file system #modelling #verification: Advanced Modelling and Verification Techniques Applied to a Cluster File System (CP), pp. 119–126.
DAC-1999-CongLW #clustering #optimisation #performance: Simultaneous Circuit Partitioning/Clustering with Retiming for Performance Optimization (JC, HL, CW), pp. 460–465.
DAC-1999-HurL #clustering #framework #linear: Relaxation and Clustering in a Local Search Framework: Application to Linear Placement (SWH, JL), pp. 360–366.
ICDAR-1999-JiangBW #clustering #detection #documentation #image #nearest neighbour: Skew Detection of Document Images by Focused Nearest-Neighbor Clustering (XJ, HB, DWK), pp. 629–632.
ICDAR-1999-KosmalaWR #clustering #online #recognition #scalability: Advanced State Clustering for Very Large Vocabulary HMM-based On-Line Handwriting Recognition (AK, DW, GR), pp. 442–445.
ICDAR-1999-WorringT #clustering #documentation #segmentation #using: Segmentation of Color Documents by Line Oriented Clustering using Spatial Information (MW, LT), pp. 67–70.
ICDAR-1999-Yamasaki #automation #clustering #generative #online #prototype #recognition: Automatic Prototype Stroke Generation based on Stroke Clustering for On-Line Handwritten Japanese Character Recognition (KY), pp. 673–676.
PODS-1999-Raman #clustering #database #locality #theory and practice: Locality Preserving Dictionaries: Theory and Application to Clustering in Databases (VR), pp. 337–345.
SIGMOD-1999-AggarwalPWYP #algorithm #clustering #performance: Fast Algorithms for Projected Clustering (CCA, CMP, JLW, PSY, JSP), pp. 61–72.
SIGMOD-1999-AnkerstBKS #clustering #identification #named: OPTICS: Ordering Points To Identify the Clustering Structure (MA, MMB, HPK, JS), pp. 49–60.
SIGMOD-1999-HinneburgK #clustering #database #scalability: Clustering Methods for Large Databases: From the Past to the Future (AH, DAK), p. 509.
SIGMOD-1999-JagadishLS #clustering: Snakes and Sandwiches: Optimal Clustering Strategies for a Data Warehouse (HVJ, LVSL, DS), pp. 37–48.
VLDB-1999-KeimH #clustering #towards: Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering (AH, DAK), pp. 506–517.
VLDB-1999-TamuraK #clustering #mining #parallel: Dynamic Load Balancing for Parallel Association Rule Mining on Heterogenous PC Cluster Systems (MT, MK), pp. 162–173.
CSMR-1999-SousaPPA #clustering #database #reverse engineering: Clustering Relations into Abstract ER Schemas for Database Reverse Engineering (PMAS, MdLPdJ, GP, FBeA), pp. 169–177.
ICSM-1999-MancoridisMCG #clustering #maintenance #named: Bunch: A Clustering Tool for the Recovery and Maintenance of Software System Structures (SM, BSM, YFC, ERG), p. 50–?.
WCRE-1999-AnquetilL #clustering: Experiments with Clustering as a Software Remodularization Method (NA, TCL), pp. 235–255.
WCRE-1999-TzerposH #clustering #distance #metric #named: MoJo: A Distance Metric for Software Clusterings (VT, RCH), p. 187–?.
STOC-1999-BorodinOR99a #algorithm #approximate #clustering #problem: Subquadratic Approximation Algorithms for Clustering Problems in High Dimensional Spaces (AB, RO, YR), pp. 435–444.
HCI-CCAD-1999-NakagawaN #algorithm #clustering #image: Image clustering by computer with human-oriented emergence algorithm (MN, HN), pp. 1221–1225.
ACIR-1999-HarperMM #clustering #documentation #information management: Document Clustering for Mediated Information Access (DJH, MM, GM).
ACIR-1999-KuralRJ #clustering #information retrieval: Clustering Information Retrieval Search Outputs (YK, SER, SJ).
CIKM-1999-EpterK #clustering #multi: A Multiple-Resolution Method for Edge-Centric Data Clustering (SE, MSK), pp. 491–498.
CIKM-1999-FerhatosmanogluAA #clustering #performance #retrieval: Clustering Declustered Data for Efficient Retrieval (HF, DA, AEA), pp. 343–350.
CIKM-1999-HuLL #clustering #scheduling: Indexing Techniques for Wireless Data Broadcast Under Data Clustering and Scheduling (QH, WCL, DLL), pp. 351–358.
CIKM-1999-WangXL #clustering #scalability #transaction #using: Clustering Transactions Using Large Items (KW, CX, BL), pp. 483–490.
ICML-1999-Talavera #clustering #feature model #preprocessor: Feature Selection as a Preprocessing Step for Hierarchical Clustering (LT), pp. 389–397.
ICML-1999-VaithyanathanD #clustering #documentation #learning: Model Selection in Unsupervised Learning with Applications To Document Clustering (SV, BD), pp. 433–443.
KDD-1999-AggarwalGY #categorisation #clustering #on the: On the Merits of Building Categorization Systems by Supervised Clustering (CCA, SCG, PSY), pp. 352–356.
KDD-1999-ChengFZ #clustering #mining: Entropy-based Subspace Clustering for Mining Numerical Data (CHC, AWCF, YZ), pp. 84–93.
KDD-1999-GaffneyS #clustering #modelling: Trajectory Clustering with Mixtures of Regression Models (SG, PS), pp. 63–72.
KDD-1999-GantiGR #category theory #clustering #named #summary #using: CACTUS — Clustering Categorical Data Using Summaries (VG, JG, RR), pp. 73–83.
KDD-1999-LarsenA #clustering #documentation #effectiveness #linear #mining #performance #using: Fast and Effective Text Mining Using Linear-Time Document Clustering (BL, CA), pp. 16–22.
KDD-1999-Oates #clustering #identification #multi #sequence: Identifying Distinctive Subsequences in Multivariate Time Series by Clustering (TO), pp. 322–326.
KDD-1999-WangWLSSZ #algorithm #clustering #data mining #mining: Evaluating a Class of Distance-Mapping Algorithms for Data Mining and Clustering (JTLW, XW, KIL, DS, BAS, KZ), pp. 307–311.
KDD-T-1999-KeimH #clustering #scalability #set: Clustering Techniques for Large Data Sets — from the Past to the Future (DAK, AH), pp. 141–181.
MLDM-1999-KingL #clustering #information retrieval #learning: Non-hierarchical Clustering with Rival Penalized Competitive Learning for Information Retrieval (IK, TKL), pp. 116–130.
SIGIR-1999-Eguchi #adaptation #clustering #incremental #query #using: Adaptive Cluster-Based Browsing Using Incrementally Expanded Queries and its Effects (poster abstract) (KE), pp. 265–266.
SIGIR-1999-RoussinovTRC #automation #clustering #empirical #interactive #internet: Interactive Internet Search through Automatic Clustering (poster abstract): an empirical study (DR, KMT, MR, HC), pp. 289–290.
SIGIR-1999-XuC #clustering #distributed #modelling #retrieval: Cluster-Based Language Models for Distributed Retrieval (JX, WBC), pp. 254–261.
SAC-1999-BrestZO #clustering #scheduling: Dynamic Scheduling on a PC Cluster (JB, VZ, MO), pp. 496–500.
SAC-1999-JinH #array #clustering #problem: False Sharing Problems in Cluster-Based Disk Arrays (HJ, KH), pp. 461–465.
SAC-1999-MarmelsteinL #approach #clustering #evolution: A New Approach for Evolving Clusters (REM, GBL), pp. 268–274.
ICSE-1999-DeursenK #clustering #concept analysis #identification #using: Identifying Objects Using Cluster and Concept Analysis (AvD, TK), pp. 246–255.
HPDC-1999-AgbariaF #clustering #fault tolerance #named #source code: Starfish: Fault-Tolerant Dynamic MPI Programs on Clusters of Workstations (AA, RF), pp. 167–176.
HPDC-1999-CoadyOF #clustering #embedded #memory management #network #using: Using Embedded Network Processors to Implement Global Memory Management in a Workstation Cluster (YC, JSO, MJF), pp. 319–328.
HPDC-1999-KoussihAS #clustering #memory management #named: Dodo: A User-level System for Exploiting Idle Memory in Workstation Clusters (SK, AA, SS), pp. 301–308.
PPoPP-1999-KielmannHBPB #clustering #communication #named: MagPIe: MPI’s Collective Communication Operations for Clustered Wide Area Systems (TK, RFHH, HEB, AP, RB), pp. 131–140.
SOSP-1999-GovilTHR #clustering #multi #resource management #using: Cellular Disco: resource management using virtual clusters on shared-memory multiprocessors (KG, DT, YH, MR), pp. 154–169.
SOSP-1999-SaitoBL #clustering #performance #scalability: Manageability, Availability and Performance in Porcupine: A Highly Scalable, Cluster-based Mail Service (YS, BNB, HML), pp. 1–15.
DAC-1998-FangW #clustering #functional #multi #replication #using: Performance-Driven Multi-FPGA Partitioning Using Functional Clustering and Replication (WJF, ACHW), pp. 283–286.
DATE-1998-RoyAB #clustering #named #power management: PowerShake: A Low Power Driven Clustering and Factoring Methodology for Boolean Expressions (SR, HA, PB), pp. 967–968.
DATE-1998-SongSZ #clustering #concept #effectiveness: An Effective General Connectivity Concept for Clustering (JS, ZS, WZ), pp. 398–405.
HT-1998-HirtleSC #clustering #web: Clusters on the World Wide Web: Creating Neighborhoods of Make-Believe (SCH, MES, GC), pp. 289–290.
SIGMOD-1998-AgrawalGGR #automation #clustering #data mining #mining: Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications (RA, JG, DG, PR), pp. 94–105.
SIGMOD-1998-GuhaRS #algorithm #clustering #database #named #performance #scalability: CURE: An Efficient Clustering Algorithm for Large Databases (SG, RR, KS), pp. 73–84.
VLDB-1998-EsterKSWX #clustering #incremental #mining: Incremental Clustering for Mining in a Data Warehousing Environment (ME, HPK, JS, MW, XX), pp. 323–333.
VLDB-1998-GibsonKR #approach #category theory #clustering: Clustering Categorical Data: An Approach Based on Dynamical Systems (DG, JMK, PR), pp. 311–322.
VLDB-1998-SheikholeslamiCZ #approach #clustering #database #multi #named #scalability: WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases (GS, SC, AZ), pp. 428–439.
ICSM-1998-BurdM #approach #clustering #component #evolution #maintenance #re-engineering #using: Investigating Component-Based Maintenance and the Effect of Software Evolution: A Reengineering Approach Using Data Clustering (EB, MM), pp. 199–207.
IWPC-1998-MancoridisMRCG #automation #clustering #source code #using: Using Automatic Clustering to Produce High-Level System Organizations of Source Code (SM, BSM, CR, YFC, ERG), pp. 45–52.
ACIR-1998-SmeatonBCQ #architecture #clustering #documentation #performance #retrieval: An Architecture for Efficient Document Clustering and Retrieval on a Dynamic Collection of Newspaper Texts (AFS, MB, FC, GQ).
CIKM-1998-AslamPR #clustering #information management: Static and Dynamic Information Organization with Star Clusters (JAA, KP, DR), pp. 208–217.
CIKM-1998-KimC #clustering #performance #query: Sibling Clustering of Tree-Based Spatial Indexes for Efficient Spatial Query Processing (KK, SKC), pp. 398–405.
CIKM-1998-ThomasianCL #approximate #clustering #composition: Clustering and Singular Value Decomposition for Approximate Indexing in High Dimensional Spaces (AT, VC, CSL), pp. 201–207.
ICML-1998-BlockeelRR #clustering #induction #top-down: Top-Down Induction of Clustering Trees (HB, LDR, JR), pp. 55–63.
ICML-1998-BradleyF #clustering: Refining Initial Points for K-Means Clustering (PSB, UMF), pp. 91–99.
ICPR-1998-HofmanJ #analysis #approach #clustering #performance #robust #using: Robust and efficient cluster analysis using a shared near neighbours approach (IH, RAJ), pp. 243–247.
ICPR-1998-KosmalaR98a #clustering #online #recognition #scalability #self #using: Tree-based state clustering using self-organizing principles for large vocabulary on-line handwriting recognition (AK, GR), pp. 1313–1315.
ICPR-1998-PalubinskasDK #clustering #using: An unsupervised clustering method using the entropy minimization (GP, XD, FK), pp. 1816–1818.
ICPR-1998-Rizzi #approach #clustering #graph #search-based: A genetic approach to hierarchical clustering of Euclidean graphs (SR), pp. 1543–1545.
ICPR-1998-SimonB #analysis #clustering #image: WaveStat-cluster analysis of image data and wavelet coefficients (US, MB), pp. 1622–1625.
ICPR-1998-WakaharaO #clustering: Extended mean shift in handwriting clustering (TW, KO), pp. 384–388.
ICPR-1998-Yamasaki #automation #categorisation #clustering #online #recognition: Automatic allograph categorization based on stroke clustering for online handwritten Japanese character recognition (KY), pp. 1150–1152.
KDD-1998-BradleyFR #algorithm #clustering #database #scalability: Scaling Clustering Algorithms to Large Databases (PSB, UMF, CR), pp. 9–15.
KDD-1998-FayyadRB #algorithm #clustering #refinement: Initialization of Iterative Refinement Clustering Algorithms (UMF, CR, PSB), pp. 194–198.
KDD-1998-HinneburgK #approach #clustering #database #multi #performance #scalability: An Efficient Approach to Clustering in Large Multimedia Databases with Noise (AH, DAK), pp. 58–65.
KDD-1998-KeoghP #classification #clustering #feedback #performance #representation: An Enhanced Representation of Time Series Which Allows Fast and Accurate Classification, Clustering and Relevance Feedback (EJK, MJP), pp. 239–243.
KDD-1998-MacskassyBDH #case study #clustering #performance #web: Human Performance on Clustering Web Pages: A Preliminary Study (SAM, AB, BDD, HH), pp. 264–268.
SIGIR-1998-BakerM #classification #clustering #word: Distributional Clustering of Words for Text Classification (LDB, AM), pp. 96–103.
SIGIR-1998-MechkourHM #clustering #using #web: The WebCluster Project: Using Clustering for Mediating Access to the World Wide Web (MM, DJH, GM), pp. 357–358.
SIGIR-1998-ZamirE #clustering #documentation #web: Web Document Clustering: A Feasibility Demonstration (OZ, OE), pp. 46–54.
OOPSLA-1998-McAuliffeCS #clustering #fine-grained #flexibility #named: Vclusters: A Flexible, Fine-Grained Object Clustering Mechanism (MLM, MJC, MHS), pp. 230–243.
SAC-1998-AbunawassBDL #algorithm #clustering #convergence #fuzzy: Fuzzy clustering improves convergence of the backpropagation algorithm (AMA, OSB, MD, WL), pp. 277–281.
SAC-1998-Sterling #clustering: Beowulf PC clusters: breaking the cost barrier to high end application computing (keynote address — abstract) (TLS), p. 1.
SAC-1998-WaldenBH #approximate #clustering #fuzzy #multi #using: Evaluating multi-valued inverse functions using clustering and fuzzy approximations (MAW, MB, AH), pp. 74–79.
ICSE-1998-AnquetilL #clustering #concept: Extracting Concepts from File Names: A New File Clustering Criterion (NA, TCL), pp. 84–93.
ASPLOS-1998-PaiABSDZN #clustering #network: Locality-Aware Request Distribution in Cluster-based Network Servers (VSP, MA, GB, MS, PD, WZ, EMN), pp. 205–216.
HPCA-1998-Arpaci-DusseauACHP #architecture #clustering #comparison #streaming: The Architectural Costs of Streaming I/O: A Comparison of Workstations, Clusters, and SMPs (RHAD, ACAD, DEC, JMH, DAP), pp. 90–101.
HPCA-1998-MogaD #clustering #effectiveness #network: The Effectiveness of SRAM Network Caches in Clustered DSMs (AM, MD), pp. 103–112.
HPCA-1998-SamantaBIS #clustering #design #performance #protocol: Home-Based SVM Protocols for SMP Clusters: Design and Performance (RS, AB, LI, JPS), pp. 113–124.
HPCA-1998-ScalesGA #clustering #distributed #memory management: Fine-Grain Software Distributed Shared Memory on SMP Clusters (DJS, KG, AA), pp. 125–136.
HPDC-1998-AndersenA #case study #clustering #implementation #multi: Implementation and Utilization of a Heterogeneous Multicomputer Cluster for the Study of Load Balancing Strategies (PHA, JKA), pp. 362–363.
HPDC-1998-AndresenM #clustering #distributed #scheduling #towards: Towards a Hierarchical Scheduling System for Distributed WWW Server Clusters (DA, TM), pp. 301–308.
HPDC-1998-GianniniC #architecture #clustering #communication #performance: A Software Architecture for Global Address Space Communication on Clusters: Put/Get on Fast Messages (LAG, AAC), pp. 330–337.
HPDC-1998-OguchiSTK #clustering #data mining #effectiveness #evaluation #mining #optimisation #parallel #parametricity #protocol #scalability: Optimizing Protocol Parameters to Large Scale PC Cluster and Evaluation of its Effectiveness with Parallel Data Mining (MO, TS, TT, MK), pp. 34–41.
HPDC-1998-ParkD #architecture #clustering: The Effect of Clustering in Client-Caching Architectures (JHP, AD), pp. 354–355.
HPDC-1998-RoyC #clustering #distributed #memory management #multi #named #string #symmetry: Strings: A High-Performance Distributed Shared Memory for Symmetrical Multiprocessor Clusters (SR, VC), pp. 90–97.
HPDC-1998-ZhuYZWIS #adaptation #clustering #library: Adaptive Load Sharing for Clustered Digital Library Servers (HZ, TY, QZ, DW, OHI, TRS), pp. 235–242.
DAC-1997-XuGC #clustering #refinement: Cluster Refinement for Block Placement (JX, PNG, CKC), pp. 762–765.
EDTC-1997-GovindarajanV #algorithm #clustering #heuristic: Cone-based clustering heuristic for list-scheduling algorithms (SG, RV), pp. 456–462.
ICDAR-1997-HobbyH #clustering #documentation #image: Enhancing Degraded Document Images via Bitmap Clustering and Averaging (JDH, TKH), pp. 394–400.
ICDAR-1997-VuurpijlS #categorisation #clustering: Finding structure in diversity: a hierarchical clustering method for the categorization of allographs in handwriting (LV, LS), p. 387–?.
WCRE-1997-Wiggerts #algorithm #clustering #legacy #using: Using Clustering Algorithms in Legacy Systems Remodularization (TAW), pp. 33–43.
STOC-1997-CharikarCFM #clustering #incremental #information management #information retrieval: Incremental Clustering and Dynamic Information Retrieval (MC, CC, TF, RM), pp. 626–635.
CHI-1997-KominekK #clustering #concept #multi: Accessing Multimedia through Concept Clustering (JK, RK), pp. 19–26.
ICML-1997-DevaneyR #clustering #concept #feature model #performance: Efficient Feature Selection in Conceptual Clustering (MD, AR), pp. 92–97.
KDD-1997-Ketterlin #clustering #sequence: Clustering Sequences of Complex Objects (AK), pp. 215–218.
KDD-1997-SmythGIRF #clustering #detection #using: Detecting Atmospheric Regimes Using Cross-Validated Clustering (PS, MG, KI, JR, AF), pp. 61–66.
KDD-1997-ZamirEMK #clustering #documentation #performance #web: Fast and Intuitive Clustering of Web Documents (OZ, OE, OM, RMK), pp. 287–290.
SIGIR-1997-AnickV #clustering #information retrieval: Exploiting Clustering and Phrases for Context-based Information Retrieval (PGA, SV), pp. 314–323.
SIGIR-1997-SchuetzeS #clustering #documentation #performance: Projections for Efficient Document Clustering (HS, CS), pp. 74–81.
SIGIR-1997-SilversteinP #clustering #corpus #set: Almost-Constant-Time Clustering of Arbitrary Corpus Subsets (CS, JOP), pp. 60–66.
SAC-1997-DamianiT #analysis #clustering: Dynamic clustering for technology-based domain analysis (TDA) (ED, ADT), pp. 204–206.
HPCA-1997-LimHPS #clustering #communication #performance: Message Proxies for Efficient, Protected Communication on SMP Clusters (BHL, PH, PP, MS), pp. 116–127.
HPDC-1997-LeichtlCC #clustering #parallel #programming: Parallel Programming in Multi-Paradigm Clusters (JL, PC, MJC), pp. 326–335.
HPDC-1997-RosuSF #approach #clustering #interface #network #parallel: Supporting Parallel Applications on Clusters of Workstations: The Intelligent Network Interface Approach (MCR, KS, RF), pp. 159–168.
SOSP-1997-FoxGCB #clustering #network #scalability: Cluster-Based Scalable Network Services (AF, SDG, YC, EAB, PG), pp. 78–91.
SOSP-1997-StetsDHHKPS #clustering #memory management #named #network: Cashmere-2L: Software Coherent Shared Memory on a Clustered Remote-Write Network (RS, SD, NH, GCH, LIK, SP, MLS), pp. 170–183.
DAC-1996-LiLLC #approach #clustering #linear: New Spectral Linear Placement and Clustering Approach (JL, JL, LTL, CKC), pp. 88–93.
DAC-1996-MehtaOI #clustering #energy: Energy Characterization based on Clustering (HM, RMO, MJI), pp. 702–707.
HT-1996-WeissVSNSDG #clustering #hypermedia #named #network: HyPursuit: A Hierarchical Network Search Engine that Exploits Content-Link Hypertext Clustering (RW, BV, MAS, CN, PS, AD, DKG), pp. 180–193.
SIGMOD-1996-ZhangRL #clustering #database #named #performance #scalability: BIRCH: An Efficient Data Clustering Method for Very Large Databases (TZ, RR, ML), pp. 103–114.
VLDB-1996-DiwanRSS #clustering: Clustering Techniques for Minimizing External Path Length (AAD, SR, SS, SS), pp. 342–353.
ICSM-1996-MancoridisH #clustering #graph #using: Recovering the Structure of Software Systems Using Tube Graph Interconnection Clustering (SM, RCH), p. 23–?.
WPC-1996-Kunz #automation #clustering #comprehension #process: Evaluating process clusters to support automatic program understanding (TK), pp. 198–207.
CIKM-1996-HuangJR #clustering #database #effectiveness #graph #query: Effective Graph Clustering for Path Queries in Digital Map Databases (YWH, NJ, EAR), pp. 215–222.
ICPR-1996-ArumugaveluR #algorithm #clustering: SIMD algorithms for single link and complete link pattern clustering (SA, NR), pp. 625–629.
ICPR-1996-BajcsyA #clustering: Uniformity and homogeneity-based hierarchical clustering (PB, NA), pp. 96–100.
ICPR-1996-DucSB #automation #clustering #fuzzy #segmentation: Motion segmentation by fuzzy clustering with automatic determination of the number of motions (BD, PS, JB), pp. 376–380.
ICPR-1996-FredL #clustering: A minimum code length technique for clustering of syntactic patterns (ALNF, JMNL), pp. 680–684.
ICPR-1996-HeA #approach #clustering #documentation #string: A clustering-based approach to the separation of text strings from mixed text/graphics documents (SH, NA), pp. 706–710.
ICPR-1996-JuddMJ #clustering #parallel #scalability: Large-scale parallel data clustering (DJ, PKM, AKJ), pp. 488–493.
ICPR-1996-MariD #clustering #fuzzy #segmentation: A segmentation method based on fuzzy topology and clustering (MM, SGD), pp. 565–569.
ICPR-1996-MollerGW #clustering #network #performance: Fast vector quantizer on neural clustering networks providing globally optimal cluster solutions (UM, MG, HW), pp. 351–355.
ICPR-1996-Roberts #analysis #clustering: Scale-space unsupervised cluster analysis (SJR), pp. 106–110.
ICPR-1996-Schikuta #clustering #named #performance #scalability #set: Grid-clustering: an efficient hierarchical clustering method for very large data sets (ES), pp. 101–105.
ICPR-1996-Sinclair96a #analysis #clustering: Cluster-based texture analysis (DS), pp. 825–829.
ICPR-1996-YeungY #clustering #segmentation #video: Time-constrained clustering for segmentation of video into story units (MMY, BLY), pp. 375–380.
KDD-1996-EsterKSX #algorithm #clustering #database #scalability: A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise (ME, HPK, JS, XX), pp. 226–231.
KDD-1996-HofmannB #clustering: Inferring Hierarchical Clustering Structures by Deterministic Annealing (TH, JMB), pp. 363–366.
KDD-1996-Smyth #clustering #monte carlo #using: Clustering Using Monte Carlo Cross-Validation (PS), pp. 126–133.
SIGIR-1996-HearstP #clustering #retrieval: Reexamining the Cluster Hypothesis: Scatter/Gather on Retrieval Results (MAH, JOP), pp. 76–84.
ECOOP-1996-BullatS #clustering #database #effectiveness: Dynamic Clustering in Object Databases Exploiting Effective Use of Relationships Between Objects (FB, MS), pp. 344–365.
ICRE-1996-HsiaHKH #clustering #composition #requirements: User-Centered System Decomposition: Z-Based Requirements Clustering (PH, CTH, DCK, LBH), pp. 126–135.
SAC-1996-DoroodchiR #clustering #fuzzy: Nonlinear smoothing of signals by applying fuzzy clustering to local points (MD, AMR), pp. 595–599.
SAC-1996-KulkarniM #clustering #fuzzy #modelling #network: Fuzzy neural network models for clustering (ADK, VKM), pp. 523–528.
SAC-1996-OuyangC #clustering #design #reuse #specification: Enhancing design reusability by clustering specifications (YO, DLC), pp. 493–499.
ASPLOS-1996-ErlichsonNCH #clustering #distributed #memory management #named #performance: SoftFLASH: Analyzing the Performance of Clustered Distributed Virtual Shared Memory (AE, NN, GC, JLH), pp. 210–220.
HPCA-1996-KarlssonS #clustering #evaluation #multi #performance: Performance Evaluation of a Cluster-Based Multiprocessor Built from ATM Switches and Bus-Based Multiprocessor Servers (MK, PS), pp. 4–13.
HPCA-1996-MarkatosK #clustering #named #network #parallel: Telegraphos: High-Performance Networking for Parallel Processing on Workstation Clusters (EPM, MK), pp. 144–153.
HPCA-1996-NayfehOS #clustering #multi: The Impact of Shared-Cache Clustering in Small-Scale Shared-Memory Multiprocessors (BAN, KO, JPS), pp. 74–84.
HPDC-1996-CarterLA #clustering #comparison #performance: Commodity Clusters: Performance Comparison Between PC’s and Workstations (RC, JL, RA), pp. 292–304.
HPDC-1996-CrandallSC #clustering #comparison #multi #performance: Performance Comparison of Desktop Multiprocessing and Workstation Cluster Computing (PC, EVS, MJC), pp. 272–281.
HPDC-1996-NicklasASW #clustering #parallel #problem: A Parallel Solution to the Cutting Stock Problem for a Cluster of Workstations (LDN, RWA, SS, PYW), pp. 521–530.
HPDC-1996-SarkarB #clustering #interface #named #network: CNI: A High-Performance Network Interface for Workstation Clusters (PS, MLB), pp. 151–160.
HPDC-1996-SolimanE #adaptation #clustering #distributed #performance #simulation: An Efficient Clustered Adaptive-Risk Technique for Distributed Simulation (HMS, ASE), pp. 383–391.
ICDAR-v1-1995-HochbergKKT #automation #clustering #identification #image #using: Automatic script identification from images using cluster-based templates (JH, LK, PK, TT), pp. 378–381.
ICDAR-v1-1995-JonkS #approach #axiom #clustering: An axiomatic approach to clustering line-segments (AJ, AWMS), pp. 386–389.
ICDAR-v1-1995-LeeT #clustering #modelling #recognition #semantics #word: A language model based on semantically clustered words in a Chinese character recognition system (HJL, CHT), pp. 450–453.
ICDAR-v1-1995-TsudaSMI #clustering #database #documentation #image: Clustering OCR-ed texts for browsing document image database (KT, SS, MM, KI), pp. 171–174.
ICDAR-v2-1995-DengelD #approach #classification #clustering #documentation #machine learning: Clustering and classification of document structure-a machine learning approach (AD, FD), pp. 587–591.
ICDAR-v2-1995-FanLW #approach #clustering #documentation #segmentation: A feature point clustering approach to the segmentation of form documents (KCF, JML, JYW), pp. 623–626.
ICDAR-v2-1995-LeeK95c #clustering #multi #network #recognition: Multiresolution recognition of handwritten numerals with wavelet transform and multilayer cluster neural network (SWL, YJK), pp. 1010–1013.
ICDAR-v2-1995-TakahashiM #clustering: A clustering method and radius tuning by end users (HT, KMM), pp. 698–701.
PODS-1995-PagelSW #clustering: Window Query-Optimal Clustering of Spatial Objects (BUP, HWS, MW), pp. 86–94.
VLDB-1995-GardarinGT #clustering #cost analysis #database #object-oriented: A Cost Model for Clustered Object-Oriented Databases (GG, JRG, ZHT), pp. 323–334.
VLDB-1995-MogiK #array #clustering: Hot Block Clustering for Disk Arrays with Dynamic Striping (KM, MK), pp. 90–99.
CIKM-1995-Teuhola #clustering #effectiveness #linear: Effective Clustering of Objects Stored by Linear Hashing (JT), pp. 274–280.
KDD-1995-EsterKX #clustering #database #interface #scalability: A Database Interface for Clustering in Large Spatial Databases (ME, HPK, XX), pp. 94–99.
KDD-1995-Fisher #clustering #optimisation: Optimization and Simplification of Hierarchical Clusterings (DF), pp. 118–123.
KDD-1995-KetterlinGK #approach #clustering #concept #database: Conceptual Clustering in Structured Databases: A Practical Approach (AK, PG, JJK), pp. 180–185.
SIGIR-1995-BooksteinKR #clustering #detection #word: Detecting Content-Bearing Words by Serial Clustering (AB, STK, TR), pp. 319–327.
SIGIR-1995-IwayamaT #categorisation #clustering #comparison: Cluster-Based Text Categorization: A Comparison of Category Search Strategies (MI, TT), pp. 273–280.
SIGIR-1995-Ornager #analysis #clustering #database #empirical #image #word: The Newspaper Image Database: Empirical Supported Analysis of Users’ Typology and Word Association Clusters (SO), pp. 212–218.
HPDC-1995-Crandall #clustering #composition: The Limited Applicability of Block Decomposition in Cluster Computing (PC), pp. 102–109.
HPDC-1995-DowdPCHC #clustering #configuration management #named #network #scalability: LIGHTNING: A Scalable Dynamically Reconfigurable Hierarchical WDM Network for High-Performance Clustering (PWD, JAP, JCC, DCH, DC), pp. 220–229.
HPDC-1995-RamanjuanBT #approach #clustering #memory management #network #parallel: Network Shared Memory: A New Approach for Clustering Workstations for Parallel Processing (RSR, JB, KJT), pp. 48–56.
HPDC-1995-Skordos #clustering #parallel #simulation: Parallel Simulation of Subsonic Fluid Dynamics on a Cluster of Workstations (PS), pp. 6–16.
HPDC-1995-Woodward #clustering #distributed #multi #simulation: Distributed Computing on Clusters of Shared-Memory Multiprocessors to Simulate Unsteady Turbulent Flows (PRW), p. 4.
LCT-RTS-1995-KopetzN #clustering #compilation #design #realtime: The Cluster Compiler — A Tool for the Design of Time-Triggered Real-Time Systems (HK, RN), pp. 108–116.
SOSP-1995-FeeleyMPKL #clustering #implementation #memory management: Implementing Global Memory Management in a Workstation Cluster (MJF, WEM, FHP, ARK, HML, CAT), pp. 201–212.
EDAC-1994-RamachandranGC #algorithm #array #clustering: An Algorithm for Array Variable Clustering (LR, DG, VC), pp. 262–266.
HT-ECHT-1994-MukherjeaFH #clustering #hypermedia #interactive #navigation: Interactive Clustering for Navigating in Hypermedia Systems (SM, JDF, SEH), pp. 136–145.
PODS-1994-HuaLL #clustering: A Decomposition-Based Simulated Annealing Technique for Data Clustering (KAH, SDL, WKL), pp. 117–128.
VLDB-1994-BrinkhoffK #clustering #database: The Impact of Global Clustering on Spatial Database Systems (TB, HPK), pp. 168–179.
VLDB-1994-NgH #clustering #data mining #effectiveness #mining #performance: Efficient and Effective Clustering Methods for Spatial Data Mining (RTN, JH), pp. 144–155.
CIKM-1994-Shrufi #clustering #performance #policy: Performance of Clustering Policies in Object Bases (AS), pp. 80–87.
ICRE-1994-LiangP #approach #clustering #pattern matching #requirements: A pattern matching and clustering based approach for supporting requirements transformation (JL, JDP), pp. 180–183.
SAC-1994-GentherG #automation #classification #clustering #fuzzy #generative #using: Automatic generation of a fuzzy classification system using fuzzy clustering methods (HG, MG), pp. 180–183.
HPDC-1994-SaletoreJP #clustering #parallel: Parallel Computations on the CHARM Heterogeneous Workstation Cluster (VAS, JJ, MP), pp. 203–210.
DAC-1993-ChanSZ93a #clustering: Spectral K-Way Ratio-Cut Partitioning and Clustering (PKC, MDFS, JYZ), pp. 749–754.
DAC-1993-CongS #algorithm #bottom-up #clustering #design #parallel: A Parallel Bottom-Up Clustering Algorithm with Applications to Circuit Partitioning in VLSI Design (JC, MS), pp. 755–760.
DAC-1993-Edahiro #algorithm #clustering #optimisation: A Clustering-Based Optimization Algorithm in Zero-Skew Routings (ME), pp. 612–616.
DAC-1993-RajaramanW #clustering: Optimal Clustering for Delay Minimization (RR, DFW), pp. 309–314.
CSM-1993-IbbaNBN #clustering #component #reuse: Structure-Based Clustering of Components for Software Reuse (RI, DN, PB, RN), pp. 210–215.
FPCA-1993-RohNB #clustering #data flow #evaluation #generative: Generation and Quantitative Evaluation of Dataflow Clusters (LR, WAN, APWB), pp. 159–168.
ICML-1993-CarpinetoR #approach #clustering #concept #named: GALOIS: An Order-Theoretic Approach to Conceptual Clustering (CC, GR), pp. 33–40.
ICML-1993-Connolly #clustering #concept #network: Constructing Hidden Variables in Bayesian Networks via Conceptual Clustering (DC), pp. 65–72.
ICML-1993-Ellman #abstraction #approximate #clustering #constraints #synthesis: Synthesis of Abstraction Hierarchies for Constraint Satisfaction by Clustering Approximately Equivalent Objects (TE), pp. 104–111.
SEKE-1993-MineauGM #clustering #concept #induction #modelling: Induction of Generic Data Models by Conceptual Clustering (GWM, RG, RM), pp. 554–564.
SIGIR-1993-Botafogo #analysis #clustering #hypermedia: Cluster Analysis for Hypertext Systems (RAB), pp. 116–125.
SAC-1993-BhatiaD #clustering #information retrieval: Cluster Characterization in Information Retrieval (SKB, JSD), pp. 721–728.
FSE-1993-PodgurskiY #analysis #clustering #testing: Partition testing, stratified sampling, and cluster analysis (AP, CY), pp. 169–181.
HPDC-1993-BanerjiKTGC #clustering #distributed #memory management: High-Performance Distributed Shared Memory Substrate for Workstation Clusters (AB, DCK, JMT, PMG, DLC), pp. 344–351.
KBSE-1992-Novak #clustering #reuse: Software Reuse through View Type Clusters (GSN), p. 15.
SIGMOD-1992-TsangarisN #clustering #on the #performance: On the Performance of Object Clustering Techniques (MMT, JFN), pp. 144–153.
VLDB-1992-LiS #clustering #concept #database: A Conceptual Model for Dynamic Clustering in Object Databases (QL, JLS), pp. 457–468.
ML-1992-FisherXZ #clustering: Ordering Effects in Clustering (DHF, LX, NZ), pp. 162–168.
ML-1992-WeinbergBK #clustering #concept: Conceptual Clustering with Systematic Missing Values (JBW, GB, GRK), pp. 464–469.
SIGIR-1992-CuttingPKT #approach #clustering #documentation #named #scalability: Scatter/Gather: A Cluster-based Approach to Browsing Large Document Collections (DRC, JOP, DRK, JWT), pp. 318–329.
SIGIR-1992-Lewis #categorisation #clustering #evaluation: An Evaluation of Phrasal and Clustered Representations on a Text Categorization Task (DDL), pp. 37–50.
TOOLS-PACIFIC-1992-Pree #clustering #concept #development #object-oriented: Object-Oriented Software Development Based On Clusters: Concepts, Consequences and Examples (WP), pp. 111–117.
HPDC-1992-BetelloRSR #clustering: Lattice Boltzmann Method on a Cluster of IBM RISC System/6000 Workstations (GB, GR, SS, FR), pp. 242–247.
HPDC-1992-CheungR #clustering #performance: High Performance Computing on a Cluster of Workstations (ALC, APR), pp. 152–160.
SIGMOD-1991-ChengH #clustering #database #effectiveness #object-oriented: Effective Clustering of Complex Objects in Object-Oriented Databases (JbRC, ARH), pp. 22–31.
SIGMOD-1991-TsangarisN #approach #clustering #probability: A Stochastic Approach for Clustering in Object Bases (MMT, JFN), pp. 12–21.
KDD-1991-HongM #clustering #incremental #parallel: Incremental Discovery of Rules and Structure by Hierarchical and Parallel Clustering (JH, CM), pp. 177–194.
KR-1991-DavisC #clustering: Clustering Temporal Intervals To Generate Reference Hierarchies (WSD, JRC), pp. 111–117.
ML-1991-BhuyanR #adaptation #clustering #information retrieval #probability: A Probabilistic Retrieval Scheme for Cluster-based Adaptive Information Retrieval (JNB, VVR), pp. 240–244.
ML-1991-BiswasWYK #clustering #concept #data analysis: Conceptual Clustering and Exploratory Data Analysis (GB, JBW, QY, GRK), pp. 591–595.
SIGMOD-1990-Jagadish #clustering #linear #multi: Linear Clustering of Objects with Multiple Atributes (HVJ), pp. 332–342.
VLDB-1990-CheineyM #clustering #parallel #transitive: A Parallel Strategy for Transitive Closure usind Double Hash-Based Clustering (JPC, CdM), pp. 347–358.
VLDB-1990-HaradaNKT #clustering #multi #query: Query Processing for Multi-Attribute Clustered Records (LH, MN, MK, MT), pp. 59–70.
ML-1990-Segen #clustering #graph #learning: Graph Clustering and Model Learning by Data Compression (JS), pp. 93–101.
ML-1990-ThintW #clustering #feature model #modelling: Feature Extraction and Clustering of Tactile Impressions with Connectionist Models (MT, PPW), pp. 253–258.
SIGIR-1990-LewisC #clustering: Term Clustering of Syntactic Phrases (DDL, WBC), pp. 385–404.
DAC-1989-GabbeS #clustering: A Note on Clustering Modules for Floorplanning (JDG, PAS), pp. 594–597.
HT-1989-CrouchCA #clustering #hypermedia #information retrieval: The Use of Cluster Hierarchies in Hypertext Information Retrieval (DBC, CJC, GA), pp. 225–237.
PODS-1989-Rotem #clustering #multi: Clustered Multiattribute Hash Files (DR), pp. 225–234.
SIGMOD-1989-ChangK #clustering #effectiveness #inheritance #object-oriented #semantics: Exploiting Inheritance and Structure Semantics for Effective Clustering and Buffering in an Object-Oriented DBMS (EEC, RHK), pp. 348–357.
ML-1989-MorkK #approach #clustering #concept: A Bootstrapping Approach to Concept Clustering (KM, JUK), pp. 503–504.
ML-1989-Segen #clustering #incremental #representation: Incremental Clustering by Minimizing Representation Length (JS), pp. 400–403.
ML-1989-YangF #clustering #concept: Conceptual Clustering of Mean-Ends Plans (HY, DHF), pp. 232–234.
ML-1989-YooF #clustering #concept: Conceptual Clustering of Explanations (JPY, DHF), pp. 8–10.
SIGIR-1989-ChangLL #clustering #data access #multi: Multikey Access Methods Based on Term Discrimination and Signature Clustering (JWC, JHL, YJL), pp. 176–185.
DAC-1988-MallelaG #clustering #standard: Clustering Based Simulated Annealing for Standard Cell Placement (SM, LKG), pp. 312–317.
STOC-1988-FederG #algorithm #approximate #clustering: Optimal Algorithms for Approximate Clustering (TF, DHG), pp. 434–444.
SIGIR-1988-Crouch #approach #clustering: A Cluster-Based Approach to Thesaurus Construction (CJC), pp. 309–320.
SIGIR-1987-CanO #clustering #information retrieval #maintenance: A Dynamic Cluster Maintenance System for Information Retrieval (FC, EAO), pp. 123–131.
SIGIR-1987-KantorBDS #clustering #concept #retrieval: Clustering of Concepts for Optimal Retrieval (PBK, AB, MD, TS), p. 316.
SIGIR-1987-RaghavanD #clustering: Optimal Determination of User-Oriented Clusters (VVR, JSD), pp. 140–146.
SIGIR-1987-RasmussenW #array #clustering #distributed #documentation #using: Non-Hierarchic Document Clustering Using the ICL Distributed Array Processor (EMR, PW), pp. 132–139.
ICLP-1987-SatoSMRG87 #clustering #execution #memory management: KL1 Execution Model for PIM Cluster with Shared Memory (MS, HS, AM, KR, AG), pp. 338–355.
DAC-1986-Larsen #analysis #clustering #data type #synthesis: Rules-based object clustering: a data structure for symbolic VLSI synthesis and analysis (RPL), pp. 768–777.
VLDB-1986-CheineyFMT #clustering #multi #reliability #using: A Reliable Backend Using Multiattribute Clustering and Select-Join Operator (JPC, PF, RM, JMT), pp. 220–227.
VLDB-1986-FangLC #clustering #idea: The Idea of De-Clustering and its Applications (MTF, RCTL, CCC), pp. 181–188.
SIGIR-1986-DeogunR #clustering #documentation #framework #information retrieval #learning: User-Oriented Document Clustering: A Framework for Learning in Information Retrieval (JSD, VVR), pp. 157–163.
SIGIR-1986-El-HamdouchiW #clustering #documentation #using: Hierarchic Document Clustering Using Ward’s Method (AEH, PW), pp. 149–156.
SIGIR-1986-Voorhees #clustering #performance: The Efficiency of Inverted Index and Cluster Searches (EMV), pp. 164–174.
SIGMOD-1985-FushimiKNTM #adaptation #algorithm #clustering #evaluation #multi #performance: Algorithm and Performance Evaluation of Adaptive Multidimensional Clustering Technique (SF, MK, MN, HT, TMO), pp. 308–318.
SIGIR-1985-CanO #clustering #concept: Concepts of the Cover-Coefficient-Based Clustering Methodology (FC, EAO), pp. 204–211.
SIGIR-1985-Radecki #clustering #ranking #retrieval: Output Ranking Methodology for Document-Clustering-Based Boolean Retrieval Systems (TR), pp. 70–76.
SIGIR-1985-Voorhees #clustering #revisited: The Cluster Hypothesis Revisited (EMV), pp. 188–196.
SIGIR-1985-Yu #adaptation #clustering #documentation: Adaptive Document Clustering (CTY), pp. 197–203.
SIGIR-1984-OmiecinskiS #approach #clustering: A Global Approach to Record Clustering and File Reorganization (EO, PS), pp. 201–219.
VLDB-1983-SaccaW #clustering #database: Database Partitioning in a Cluster of Processors (DS, GW), pp. 242–247.
SIGIR-1983-CanO #clustering: A Clustering Scheme (FC, EAO), pp. 115–121.
SIGIR-1982-RaghavanI #case study #clustering #comparative: Techniques for Measuring the Stability of Clustering: A Comparative Study (VVR, MYLI), pp. 209–237.
SIGIR-1981-KambayashiHY #clustering: Dynamic Clustering Procedures for Bibliographic Data (YK, TH, SY), pp. 90–99.
SIGIR-1981-StorerE #clustering #validation: Experiments on the Application of Clustering Techniques to Data Validation (Abstract) (WFS, CME), pp. 88–89.
ICSE-1981-ChenZ #analysis #clustering #re-engineering: Use of Cluster Analysis to Evaluate Software Engineering Methodologies (EC, MVZ), pp. 117–124.
SIGMOD-1980-ChangF #clustering #database #design #physics: A Dynamic Clustering Technique for Physical Database Design (JMC, KsF), pp. 188–199.
SIGIR-1980-Radecki #clustering #information retrieval: A Model of a Document-Clustering-Based Information Retrieval System with a Boolean Search Request Formulation (TR), pp. 334–344.
SIGIR-1979-RaghavanB #clustering #effectiveness #process: A Clustering Strategy Based on a Formalism of the Reproductive Process in Natural Systems (VVR, KB), pp. 10–22.
SIGIR-1978-Croft #clustering #retrieval: A File Organization for Cluster-Based Retrieval (WBC), pp. 65–82.
ICSE-1976-LeeSM #clustering: Application of Clustering to Estimate Missing Data and Improve Data Integrity (RCTL, JRS, CTM), pp. 539–544.
DAC-1975-IshigaKS #clustering #logic: A logic partitioning procedure by interchanging clusters (TI, TK, SS), pp. 369–377.
VLDB-1975-HofferS #analysis #clustering #database #design #physics: The Use of Cluster Analysis in Physical Data Base Design (JAH, DGS), pp. 69–86.
DAC-1972-SchulerU #clustering #linear: Clustering and linear placement (DMS, EGU), pp. 50–56.