A Fast Fuzzy C-means Clustering Algorithm Based on Soft and Hard Clustering

摘要

The paper puts forward a kind of fast fuzzy C-means clustering algorithm based on soft and hard clustering. The fast fuzzy C-means clustering algorithm inserts one layer of hard c-means clustering algorithm in front of FCM and regards the cluster centers of hard c-means clustering algorithm as the initial values of fuzzy cluster centers.It is very meaningful for a large number of data clustering.Experimental results show that the method has a shorter adjusting iteration course and a faster convergence speed than FCM