标题:An Improved Possibilistic Fuzzy Entropy Clustering Based on Artificial Bee Colony Algorithm
作者:Baofeng Guo;Mingyan Jiang;
作者机构:[Baofeng Guo;Mingyan Jiang]School of Information Science and Engineering,Shandong university
来源:Proceedings of 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE2016)
出版年:2016
关键词:possibilistic fuzzy clustering;partition entropy;unsupervised possibilistic clustering;artificial bee colony algorithm
摘要:In this paper,a possibilistic fuzzy entropy clustering algorithm(PFECM) based on unsupervised possibilistic clustering(UPC) algorithm and partition entropy(PE) has been proposed.Meanwhile,an efficient global optimization method—artificial bee colony(ABC) algorithm is introduced to optimize the propo...
资源类型:会议论文
原文链接:http://kns.cnki.net/kns/detail/detail.aspx?FileName=LRCM201611001020&DbName=IPFD2017
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