Intra-cluster Similarity Index Based on Fuzzy Rough Sets for Fuzzy C-Means Algorithm

摘要：

Cluster validity indices have been used to evaluate the quality of fuzzy partitions.In this paper,we propose a new index,which uses concepts of Fuzzy Rough sets to evaluate the average intra-cluster similarity of fuzzy clusters produced by the fuzzy c-means algorithm.Experimental results show that contrasted with several well-known cluster validity indices,the proposed index can yield more desirable cluster number estimation.

关键词： Fuzzy c-means algorithm Fuzzy Rough sets Intra-cluster similarity Cluster validity index

作者: Fan Li Fan Min Qihe Liu

作者单位: School of Computer Science and Engineering University of Electronic Science and Technology of China

会议类型: 国际会议

会议名称: The Third International Conference on Rough Sets and Knowledge Tevhnology(RSKT 2008)(第三届粗糙集与知识技术国际会议)

会议地点: 成都

会议语种:英文

页码: 316-323

在线出版日期: 2008-05-17（万方平台首次上网日期，不代表论文的发表时间）