A new approach for data clustering using hybrid artificial bee colony algorithm

Neurocomputing

Volumn 97, Issue , 2012, Pages 241-250

  Yan, Xiaohui ^a,b   Zhu, Yunlong ^a   Zou, Wenping ^a,b   Wang, Liang ^a,b  

^a SHENYANG INSTITUTE OF AUTOMATION   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

Artificial bee colony; Crossover operator; Data clustering; Hybrid artificial bee colony

Indexed keywords

ARTIFICIAL BEE COLONIES; ARTIFICIAL BEE COLONY ALGORITHMS; BENCHMARK FUNCTIONS; CROSSOVER OPERATOR; DATA ANALYSIS TECHNIQUES; DATA CLUSTERING; INCENTIVE MECHANISM; INFORMATION EXCHANGES; REAL DATA SETS; SOCIAL LEARNING; UCI MACHINE LEARNING REPOSITORY;

ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; CLUSTERING ALGORITHMS;

GENETIC ALGORITHMS;

ALGORITHM; ANALYTIC METHOD; ARTICLE; BEE; CLUSTER ANALYSIS; DATA ANALYSIS; GENETIC ALGORITHM; MACHINE LEARNING; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; ORGANISM COLONY; PRIORITY JOURNAL; SIMULATION; SOCIAL LEARNING;

EID: 84865320741     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2012.04.025     Document Type: Article

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