Feature selection based on sensitivity analysis of fuzzy ISODATA

Neurocomputing

Volumn 85, Issue , 2012, Pages 29-37

  Liu, Quanjin ^a,b   Zhao, Zhimin ^a   Li, Ying Xin ^c   Li, Yuanyuan ^a  

^a NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS   (China)

^b ANQING NORMAL UNIVERSITY   (China)

^c Beijing Jingwei Textile Machinery New Technology Co Ltd   (China)

Author keywords

Classification; Clustering; Feature selection; Fuzzy ISODATA; Microarray; Sensitivity analysis

Indexed keywords

CLUSTERING; DATA ALGORITHM; FEATURE SELECTION METHODS; FEATURE SENSITIVITY; FEATURE SUBSET; GENE EXPRESSION DATA; HIGH-DIMENSIONAL; ISODATA; MICROARRAY DATA SETS; RECURSIVE FEATURE ELIMINATION; SELF ORGANIZING; UNSUPERVISED METHOD;

CLASSIFICATION (OF INFORMATION); DATA REDUCTION; FEATURE EXTRACTION; GENE EXPRESSION; MICROARRAYS;

SENSITIVITY ANALYSIS;

ALGORITHM; ARTICLE; BIOINFORMATICS; CLASSIFICATION; CLUSTER ANALYSIS; FEATURE SELECTION METHOD; FUZZY INTERACTIVE SELF ORGANIZING DATA ALGORITHM; GENE EXPRESSION; MACHINE LEARNING; PRIORITY JOURNAL; SENSITIVITY ANALYSIS;

EID: 84862804273     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2012.01.005     Document Type: Article

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