Parallel fuzzy clustering algorithm based on kernel method

Fuzzy C-means clustering algorithms(FCM),Fuzzy C-means clustering algorithms based on kernel method(FKCM) and C-means clustering algorithms(CM) are introduced and studied.FKCM and CM are put together,using CM to initialize centroids of FKCM to reduce iterations efficiently.In order to resolve the large amount of data,FKCM are made parallel,which improved the rapidity and efficiency of FKCM.And on the distributed linked PC/workstation,the parallel clustering algorithm is implemented.The result shows that the parallel algorithm has good sizeup and speedup.