关键词: 模糊C-均值算法, 模糊聚类, 软聚类, 硬聚类

Abstract: This paper discusses how to improve the fuzzy C-means clustering algorithm（FCM）.On the basis of FCM，the paper puts forward a kind of fast fuzzy C-means clustering algorithm based on soft and hard clustering.The fast FCM inserts one layer of hard C-means clustering algorithm in front of FCM.The hard C-means clustering algorithm can be finished at much higher speed than FCM.In order to improve the convergence speed of FCM，the authors regard the cluster centers of hard C-means clustering algorithm as the initial value of fuzzy cluster centers.It is very meaningful for a large number of data clustering.In addition，this paper proves that the fast fuzzy C-means clustering algorithm has a shorter adjusting iteration course and a faster convergence speed than FCM and the clustering result achieved from data emulation is very ideal.

Key words: fuzzy C-means clustering algorithm（FCM）, fuzzy clustering, soft clustering, hard clustering