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Determination of Multiple q Values for Tsallis-Entropy-Maximized-FCM

  • Makoto YasudaEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1074)

Abstract

Based on the fuzzy c-means clustering method maximized with the Tsallis entropy, we have achieved its extension that assigns the q parameter of Tsallis entropy to each cluster as \(q_i\).

In this method, however, there remains three problems. That is, (1) determination \(q_i\) according to the data distribution, (2) occurrence of abnormal bias of \(q_i\), and (3) calculation termination condition of \(q_i\). In this article, we propose a new calculation method and a termination condition of \(q_i\), and show its effects by experiments.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.National Institute of Technology, Gifu CollegeGifuJapan

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