A K-harmonic means Clustering Algorithm Based on Enhanced Differential Evolution

文献类型： 外文期刊

第一作者： Zhang, LiDong

作者： Zhang, LiDong;Mao, Li;Gong, HuaiJin;Zhang, LiDong;Mao, Li;Gong, HuaiJin;Yang, Hong

作者机构：

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.

分类号：

  • 相关文献

[1]Parameter estimation for a rice phenology model based on the differential evolution algorithm. Xuan, Shouli,Shi, Chunlin,Liu, Yang,Zhang, Wenyu,Cao, Hongxin,Xue, Changying. 2016

[2]Co-evolutionary Gene Expression Programming and Its Application in Wheat Aphid Population Forecast Modelling. Zhang, Xing,Zhang, Kai,Zhu, Wumei,Ma, Chunsen. 2014

作者其他论文 更多>>

微信小程序