A Novel Two-stage Algorithm of Fuzzy C-Means Clustering

摘要：

Fuzzy C-Means is one of the clustering algorithms based on optimizing an objective function. The selection of the initial parameters of the number and the initial cluster centers play an important influence in the performance of the FCM. This paper proposes a new FCM clustering algorithm with two stages. The proposed algorithm not only resolves the problem of the initial choice of the cluster center effectively, but also decreases the time when clustering large volume of data. The computer simulation results show the effectivity and the superiority of the new algorithm.

关键词： Fuzzy C-Means clustering algorithm initial cluster center two-stage algorithm

作者: Shanhong ZHENG Chunguang ZHOU Guixia LIU Wanlong LI

作者单位: Computer Science and Technology College JiLin University Computer Science and Engineering College Ch Computer Science and Technology College JiLin University ChangChun, China Computer Science and Engineering College ChangChun University of Technology ChangChun, China

会议类型: 国际会议

会议名称: 2010 International Conference on Computer,Mechatronics,Control and Electronic Engineering(2010计算机、机电、控制与电子工程国际会议 CMCE 2010)

会议地点: 长春

会议语种:英文

页码: 85-88

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）