Estimating the number of clusters via system evolution for cluster analysis of gene expression data

IEEE Transactions on Information Technology in Biomedicine

Volumn 13, Issue 5, 2009, Pages 848-853

  Wang, Kaijun ^a,b   Zheng, Jie ^a   Zhang, Junying ^b   Dong, Jiyang ^c  

^a FUJIAN NORMAL UNIVERSITY   (China)

^b XIDIAN UNIVERSITY   (China)

^c XIAMEN UNIVERSITY   (China)

Author keywords

Cluster analysis; Estimation of the number of clusters; Partitioning around medoids; System evolution

Indexed keywords

CLUSTER STRUCTURE; DATA SETS; GENE EXPRESSION DATA; MERGING PROCESS; NUMBER OF CLUSTERS; OVERLAPPING CLUSTERS; PARTITIONING AROUND MEDOIDS; STABLE EQUILIBRIUM STATE; SYSTEM EVOLUTION;

BIOACTIVITY; CLUSTER ANALYSIS; CLUSTERING ALGORITHMS; GENE EXPRESSION; SPONTANEOUS EMISSION;

ESTIMATION;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; CLUSTER ANALYSIS; COMPUTER SIMULATION; GENE EXPRESSION; GENETIC DATABASE; STATISTICAL MODEL;

ALGORITHMS; CLUSTER ANALYSIS; COMPUTER SIMULATION; DATABASES, GENETIC; GENE EXPRESSION; MODELS, GENETIC; MODELS, STATISTICAL;

EID: 70349428495     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2009.2025119     Document Type: Article

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