Dynamic clustering with improved binary artificial bee colony algorithm

•We proposed an improved binary artificial bee colony algorithm (IDisABC).•We examined the proposed algorithm on dynamic clustering.•Data and image clustering benchmark problems are chosen for experiments.•The obtained results are compared with K-means, FCM, GA, DisABC, DCPSO. One of the most well-k...

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Veröffentlicht in:	Applied soft computing Jg. 28; S. 69 - 80
Hauptverfasser:	Ozturk, Celal, Hancer, Emrah, Karaboga, Dervis
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.03.2015
Schlagworte:	Automatic clustering Binary artificial bee colony algorithm Cluster analysis Discrete optimization Cluster analysis Binary artificial bee colony algorithm Discrete optimization Automatic clustering
ISSN:	1568-4946, 1872-9681
Online-Zugang:	Volltext
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