Relative entropy collaborative fuzzy clustering method
作者：
Highlights：
• In many clustering methods, it is assumed that the data are stored in one data site.
• Ways of communication between data sites effects the clustering results.
• A new communication method based on relative entropy is proposed.
• It minimizes the divergence of membership degrees of Kth data in ith cluster in all data sites.
• RECFC and its two modes could efficiently classify data stored in several data sites.
摘要
•In many clustering methods, it is assumed that the data are stored in one data site.•Ways of communication between data sites effects the clustering results.•A new communication method based on relative entropy is proposed.•It minimizes the divergence of membership degrees of Kth data in ith cluster in all data sites.•RECFC and its two modes could efficiently classify data stored in several data sites.
论文关键词：Fuzzy set theory,Horizontal and vertical collaborative fuzzy clustering,Relative entropy,Relative entropy collaborative fuzzy clustering
论文评审过程：Received 28 January 2014, Revised 14 September 2014, Accepted 17 September 2014, Available online 30 September 2014.
论文官网地址：https://doi.org/10.1016/j.patcog.2014.09.018
