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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Bibliographic Details
Published in:	PloS one Vol. 12; no. 12; p. e0188815
Main Authors:	Gong, Congcong, Chen, Haisong, He, Weixiong, Zhang, Zhanliang
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science 05.12.2017 Public Library of Science (PLoS)
Subjects:	Algorithms Analysis Biology and Life Sciences Cluster analysis Clustering Computer and Information Sciences Data analysis Datasets Earth Sciences Fuzzy sets Information science Intelligence International conferences Medicine and Health Sciences Methods Multiple objective analysis Optimization Optimization theory Particle swarm optimization Physical Sciences Problems Research and Analysis Methods Researchers Social Sciences Studies Swarm intelligence
ISSN:	1932-6203, 1932-6203
Online Access:	Get full text
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