Evaluation of Fuzzy Clustering for High-Dimensional Data based on Principal Component Analysis

Abstract

This paper presents numerical results of the evaluation of fuzzy clustering results by using the technique of principal component analysis. In this case, we evaluate the efficiency of the fuzzy clustering results by utilizing probabilistic fuzzy clustering, possibilistic fuzzy clustering, and covariance based fuzzy clustering.