文献类型： 外文期刊
作者： Zhang, LiDong 1 ; Mao, Li 1 ; Gong, HuaiJin 1 ; Yang, Hong 2 ;
作者机构： 1.Jiangsu Engn R&D Ctr Informat Fus Software, Jiangyin 214405, Jiangsu, Peoples R China
2.Chinese Acad Fishery Sci, Freshwater Fisheries Res Ctr, Wuxi 214081, Jiangsu, Peoples R China
关键词： K-harmonic means;differential evolution;Laplace mutation operator;logarithmically crossover probability
期刊名称：2013 FIFTH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA 2013)
ISSN： 2157-1473
年卷期： 2013 年
页码：
收录情况： SCI
摘要： The conventional K-harmonic means is tend to be trapped by local optima. To resolve this problem, a novel K-harmonic means clustering algorithm using enhanced differential evolution technique is proposed. This algorithm improves the global search ability by applying Laplace mutation operator and logarithmically crossover probability operator. Numerical experiments show that this algorithm overcomes the disadvantages of the K-harmonic means, and improves the global search ability.
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