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Volumn , Issue , 2012, Pages

Artificial bee colony based image clustering method

Author keywords

Artificial bee colony algorithm; Image clustering; K means; Particle swarm optimization

Indexed keywords

ABC ALGORITHMS; ARTIFICIAL BEE COLONIES; ARTIFICIAL BEE COLONY ALGORITHMS; HIGH LEVEL DESCRIPTION; IMAGE CLUSTERING; IMAGE CONTENT; K-MEANS; NUMBER OF CLUSTERS; PARTICLE SWARM OPTIMIZATION ALGORITHM; STATISTICAL DATA ANALYSIS;

EID: 84866867225     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2012.6252919     Document Type: Conference Paper
Times cited : (51)

References (16)
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  • 6
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    • A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters
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    • (1973) Journal of Cybernetics , vol.3 , pp. 32-57
    • Dunn, J.C.1
  • 8
    • 56349096501 scopus 로고    scopus 로고
    • A genetic fuzzy k-Modes algorithm for clustering categorical data
    • G. Gan, et al., " A genetic fuzzy k-Modes algorithm for clustering categorical data," Expert Syst. Appl., vol. 36, pp. 1615-1620, 2009.
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    • Gan, G.1
  • 9
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  • 10
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    • Karaboga, D.1
  • 11
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    • Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification
    • D. Karaboga and C. Ozturk, "Neural Networks Training By Artificial Bee Colony Algorithm On Pattern Classification," Neural Network World, vol. 19, pp. 279-292, 2009.
    • (2009) Neural Network World , vol.19 , pp. 279-292
    • Karaboga, D.1    Ozturk, C.2
  • 13
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    • On the performance of artificial bee colony (ABC) algorithm
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.