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» MABAC - Matrix Based Clustering Algorithm
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ICDM
2003
IEEE
125views Data Mining» more  ICDM 2003»
15 years 6 months ago
Clustering Item Data Sets with Association-Taxonomy Similarity
We explore in this paper the efficient clustering of item data. Different from those of the traditional data, the features of item data are known to be of high dimensionality and...
Ching-Huang Yun, Kun-Ta Chuang, Ming-Syan Chen
IPPS
2003
IEEE
15 years 6 months ago
Gene Clustering Using Self-Organizing Maps and Particle Swarm Optimization
Gene clustering, the process of grouping related genes in the same cluster, is at the foundation of different genomic studies that aim at analyzing the function of genes. Microarr...
Xiang Xiao, Ernst R. Dow, Russell C. Eberhart, Zin...
IJHPCN
2008
94views more  IJHPCN 2008»
15 years 1 months ago
Analysing and improving clustering based sampling for microprocessor simulation
: We propose a set of statistical metrics for making a comprehensive, fair, and insightful evaluation of features, clustering algorithms, and distance measures in representative sa...
Yue Luo, Ajay Joshi, Aashish Phansalkar, Lizy Kuri...
ICPR
2006
IEEE
16 years 2 months ago
A Template-Matching Approach for Protein Surface Clustering
Surface-based techniques for protein comparison and classification typically require a compact surface representation, capable of effectively condensing its description. In this p...
Alessandra Lumini, Lorenzo Baldacci, Matteo Golfar...
STACS
2007
Springer
15 years 7 months ago
Small Space Representations for Metric Min-Sum k -Clustering and Their Applications
The min-sum k-clustering problem is to partition a metric space (P, d) into k clusters C1, . . . , Ck ⊆ P such that k i=1 p,q∈Ci d(p, q) is minimized. We show the first effi...
Artur Czumaj, Christian Sohler