A Fast Algorithm for Fuzzy Clustering Problem

摘要：

This paper presents a new fast algorithm for fuzzy clustering problem, based on the properties of fuzzy similarity relations and fuzzy equivalency relations. The fast algorithm has been validated under matlab, with the operation amount less than half and speeds faster 2 times than the traditional algorithm at least.

关键词： fuzzy clustering fast algorithm fuzzy relation

作者: Zhangfeng Wuqinzhang Renguoqiang

作者单位: The Institute of Optics and Electronics The Chinese Academy of Sciences Chengdu, China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 1585-1588

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）