TOWARDS FINDING A NEW KERNELIZED FUZZY C-MEANS CLUSTERING ALGORITHM
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 Sulphur Powder distance which is used in the conventional Fuzzy C-Means clustering techn