Proceedings of the Fuzzy System Symposium
35th Fuzzy System Symposium
Session ID : FB1-3
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On Power Regularzied Bezdek-type Fuzzy Clustering
*Yuchi Kanzawa
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Abstract

This report presents an experimental study for the behavior of the fuzzy classification function for a generalized fuzzy clustering method including the Bezdek-type fuzzy c-means, the entropy-regularized fuzzy c-means, the power regularized fuzzy c-means, and the Tsallis entropy-based fuzzy c-means. As a result, if the fuzzification parameter value with the first term of the objective function is greater than one, the fuzzy classification function value converges to the reciprocal of the cluster number, independent with the fuzzification parameter value with the seconf term of the objective function.

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© 2019 Japan Society for Fuzzy Theory and Intelligent Informatics
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