Clustering of fuzzy data using credibilistic critical values

In this paper, the usage of credibilistic critical values in the implementation of k -means and k-medoids algorithm has been explored in clustering of fuzzy data set. An illustrative numerical example based on a bench mark data set is given to demonstrate the study. Also the performances of the two algorithms when used with critical values have been compared in terms of various cluster validity measures.