Improved multi-objective clustering algorithm using particle swarm optimization

Multi-objective clustering has received widespread attention recently, as it can obtain more accurate and reasonable solution. In this paper, an improved multi-objective clustering framework using particle swarm optimization (IMCPSO) is proposed. Firstly, a novel particle representation for clusteri...

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Veröffentlicht in:PloS one Jg. 12; H. 12; S. e0188815
Hauptverfasser: Gong, Congcong, Chen, Haisong, He, Weixiong, Zhang, Zhanliang
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Public Library of Science 05.12.2017
Public Library of Science (PLoS)
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ISSN:1932-6203, 1932-6203
Online-Zugang:Volltext
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