Fuzzy c-mean Clustering Algorithm Based on Principal Components Method

摘要：

In this paper we study the fuzzy c-mean clustering algorithm combined with principal components method.Demonstratively analyses indicate that the new clustering method is well rather than some clustering algorithms.We also consider the validity of clustering method.

关键词： FCM algorithm Principal Components Analysis Cluster validity

作者: Bainian Li Kongsheng Zhang Wei Zhang

作者单位: School of Stat & Applied mathematics,Anhui University of Finance and Economics,Bengbu 233030,China

会议类型: 国际会议

会议名称: 2009 International Conference on Information,Electronic and Computer Science(2009 国际信息、电子与计算机工程学术会议)

会议地点: 青岛

会议语种:英文

页码: 595-598

在线出版日期: 2009-11-21（万方平台首次上网日期，不代表论文的发表时间）