On a Fuzzification of Clustering Indices

Abstract

Fuzzy clustering is given by assigning to each data a set of membership degree to clusters. Quality of such a clustering is evaluated by measuring compactness and separateness. In crisp clustering, many clustering indices are proposed. In this article, we try to fuzzify these clustering indices by using membership degrees with higher order exponent and evaluate the effect in optimization problem.