A Novel Intelligent Hybrid Fuzzy Method for K-Means Algorithm

Abstract

In this study, we want to focus on intelligent hybrid fuzzy methods for K-Means algorithm and we want to present a fuzzy model for this algorithm. This method is combined with other methods in order to improve the clustering mechanism. All kinds of hybrid fuzzy methods is helped to improve the performance of K-Means algorithm. We hope that, this paper is useful for the researchers work in machine learning scope.

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