Hybrid feature selection using correlation coefficient and particle swarm optimization on microarray gene expression data

Advances in Intelligent Systems and Computing

Volumn 424, Issue , 2016, Pages 229-239

  Chinnaswamy, Arunkumar ^a   Srinivasan, Ramakrishnan ^b  

^a AMRITA SCHOOL OF ENGINEERING   (India)

^b DR MAHALINGAM COLLEGE OF ENGINEERING AND TECHNOLOGY   (India)

Author keywords

Correlation coefficient; Extreme learning machine; Feature selection; Particle swarm optimization

Indexed keywords

DECISION TREES; DISEASES; FEATURE EXTRACTION; GENE EXPRESSION; GENES; GENETIC ALGORITHMS; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS; PARTICLE SWARM OPTIMIZATION (PSO);

CANCER CLASSIFICATION; CLASSIFICATION ACCURACY; CLINICAL APPLICATION; CORRELATION COEFFICIENT; EXTREME LEARNING MACHINE; FEATURE SELECTION AND CLASSIFICATION; HYBRID FEATURE SELECTIONS; MICROARRAY GENE EXPRESSION DATA;

CLASSIFICATION (OF INFORMATION);

EID: 84951962460     PISSN: 21945357     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-319-28031-8_20     Document Type: Conference Paper

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