EEW-SC: Enhanced entropy-weighting subspace clustering for high dimensional gene expression data clustering analysis

Applied Soft Computing Journal

Volumn 11, Issue 8, 2011, Pages 4798-4806

  Deng, Zhaohong ^a,b,c   Choi, Kup Sze ^b   Chung, Fu Lai ^b   Wang, Shitong ^a  

^a JIANGNAN UNIVERSITY   (China)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^c Jiangsu Engineering R and D Center for Information Fusion Software   (China)

Author keywords

Insensitive robustness distance; Clustering ensemble; Entropy weighting; Gene expression clustering analysis; Subspace clustering

Indexed keywords

CLUSTERING ANALYSIS; CLUSTERING ENSEMBLE; CLUSTERING METHODS; CLUSTERING PROCEDURE; CLUSTERING TECHNOLOGIES; ENTROPY WEIGHTING; EXPERIMENTAL STUDIES; GENE EXPRESSION CLUSTERING ANALYSIS; GENE EXPRESSION DATA; GENE EXPRESSION DATA CLUSTERING; GENE EXPRESSION DATASETS; HIGH-DIMENSIONAL; LEARNING RULES; OBJECTIVE FUNCTIONS; OPTIMIZATION OBJECTIVE FUNCTION; SUBSPACE CLUSTERING; TRADITIONAL CLUSTERING;

CLUSTER ANALYSIS; ENTROPY; GENE EXPRESSION;

CLUSTERING ALGORITHMS;

EID: 80053561639     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2011.07.002     Document Type: Article

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