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CSB
2004
IEEE
136views Bioinformatics» more  CSB 2004»
15 years 8 months ago
Minimum Entropy Clustering and Applications to Gene Expression Analysis
Clustering is a common methodology for analyzing the gene expression data. In this paper, we present a new clustering algorithm from an information-theoretic point of view. First,...
Haifeng Li, Keshu Zhang, Tao Jiang
ISCI
2008
117views more  ISCI 2008»
15 years 4 months ago
Search based software testing of object-oriented containers
Automatic software testing tools are still far from ideal for real world object-oriented (OO) software. The use of nature inspired search algorithms for this problem has been inve...
Andrea Arcuri, Xin Yao
FLAIRS
2000
15 years 5 months ago
Graph-Based Hierarchical Conceptual Clustering
Hierarchical conceptual clustering has been proven to be a useful data mining technique. Graph-based representation of structural information has been shown to be successful in kn...
Istvan Jonyer, Lawrence B. Holder, Diane J. Cook
127
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ICDM
2002
IEEE
156views Data Mining» more  ICDM 2002»
15 years 9 months ago
Association Analysis with One Scan of Databases
Mining frequent patterns with an FP-tree avoids costly candidate generation and repeatedly occurrence frequency checking against the support threshold. It therefore achieves bette...
Hao Huang, Xindong Wu, Richard Relue
FUZZIEEE
2007
IEEE
15 years 11 months ago
Single Pass Fuzzy C Means
— Recently several algorithms for clustering large data sets or streaming data sets have been proposed. Most of them address the crisp case of clustering, which cannot be easily ...
Prodip Hore, Lawrence O. Hall, Dmitry B. Goldgof