Particle swarm optimization with selective particle regeneration for data clustering

► We present a novel algorithm developed based on particle swarm optimization. ► The algorithm contains particle regeneration operation. ► We apply this algorithm to data clustering problems. ► The proposed algorithm performs very well in the conducted numerical experiment. This paper presents selec...

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Veröffentlicht in:	Expert systems with applications Jg. 38; H. 6; S. 6565 - 6576
Hauptverfasser:	Tsai, Chi-Yang, Kao, I-Wei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.06.2011
Schlagworte:	Algorithms Clustering Convergence Data clustering Expert systems K-means algorithm Mathematical models Optimization Particle swarm optimization Performance evaluation Regeneration K-means algorithm Particle swarm optimization Data clustering
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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