Research of Improved Fuzzy c-means Algorithm Based on a New Metric Norm |
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| Authors: | MAO Li SONG Yi-chun LI Yin YANG Hong XIAO Wei |
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| Affiliation: | MAO Li;SONG Yi-chun;LI Yin;YANG Hong;XIAO Wei;Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Internet of Things, Jiangnan University;Freshwater Fisheries Research Center, Chinese Academy of Fishery Science; |
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| Abstract: | For the question that fuzzy c-means(FCM)clustering algorithm has the disadvantages of being too sensitive to the initial cluster centers and easily trapped in local optima,this paper introduces a new metric norm in FCM and particle swarm optimization(PSO)clustering algorithm,and proposes a parallel optimization algorithm using an improved fuzzy c-means method combined with particle swarm optimization(AF-APSO).The experiment shows that the AF-APSO can avoid local optima,and get the best fitness and clustering performance significantly. |
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