Improvement of new automatic differential fuzzy clustering using SVM classifier for microarray analysis

Expert Systems with Applications

Volumn 38, Issue 12, 2011, Pages 15122-15133

  Saha, Indrajit ^a   Maulik, Ujjwal ^b   Bandyopadhyay, Sanghamitra ^c   Plewczynski, Dariusz ^a  

^a UNIVERSITY OF WARSAW   (Poland)

^b JADAVPUR UNIVERSITY   (India)

^c INDIAN STATISTICAL INSTITUTE   (India)

Author keywords

Biological significance test; Differential evolution; Fuzzy clustering; Genetic algorithm; Support vector machine

Indexed keywords

BIOLOGICAL SIGNIFICANCE; CLUSTERING APPROACH; CLUSTERING METHODS; CLUSTERING TECHNIQUES; DATA SETS; DIFFERENTIAL EVOLUTION; FUZZY C-MEANS ALGORITHMS; GENE ANNOTATION; GENE EXPRESSION DATA; MICROARRAY ANALYSIS; MICROARRAY DATA; NUMBER OF CLUSTERS; REAL-CODED; STATISTICAL SIGNIFICANCE TEST; SUPPORT VECTOR; SVM CLASSIFIERS; VARIABLE LENGTH GENETIC ALGORITHMS; WEB BASED;

BIOLOGY; CLUSTER ANALYSIS; COPYING; FUZZY CLUSTERING; FUZZY SYSTEMS; GENE EXPRESSION; GENETIC ALGORITHMS; SUPPORT VECTOR MACHINES; USER INTERFACES;

CLUSTERING ALGORITHMS;

EID: 80052027978     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.05.094     Document Type: Article

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