Integrating rough clustering with Fuzzy sets

This paper presents the evolution and importance of clustering techniques, since clustering is unsupervised learning and there are many clustering methods in practice which results in which clustering scheme to be selected for our purpose .Here we take four clustering methodologies crisp Juzzy rough and rough fuzzy. These clustering methods have been implemented and its importance over one another is explained. And the suitable clustering method over these three has been identified for better perspective. The experiment results with the sample dataset illustrate the importance of clustering schemes.