Abstract: For the sake of evaluating the quality of cluster results obtained by the KFCM （kernelized fuzzy c-means） algorithm, six noted validity indices for standard FCM are generalized into high-dimensional feature space for the purpose of acquiring their corresp

Key words: Kernel clustering, Fuzzy c-means, Cluster validity, Optimal number of clusters