Kernelized Fuzzy C-Means clustering technique is an attempt to improve the performance of the conventional Fuzzy C-Means clustering technique. Recently this technique where a kernel-induced distance function is used as a similarity measure instead of a Euclidean distance which is used in the conventional Fuzzy C-Means clustering technique. has earned popularity among research communit... https://www.ealisboa.com/flash-sale-Santa-Cruz-Surfboard-Recycled-Cotton-great-price/