Art

J-GLOBAL ID：201402206034126649   Reference number：14A0856010

Multi-q Extension of Tsallis Entropy Based Fuzzy c-Means Clustering

Tsallisエントロピーベースのファジィc-平均クラスタリングの多重q拡張

Author (2)： YASUDA Makoto (Gifu National Coll. Technol., Gifu, JPN) ,  ORITO Yasuyuki (Gifu National Coll. Technol., Gifu, JPN)
Material： Journal of Advanced Computational Intelligence and Intelligent Informatics  (J Adv Comput Intell Intell Inform)
Volume： 18  Issue： 3  Page： 289-296  Publication year： May. 20, 2014 
JST Material Number： F1398A  ISSN： 1343-0130  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *entropy ,  *cluster analysis ,  algorithm ,  iris(eye) ,  membership function ,  *optimization ,  maximum value
Semi thesaurus term： Shannon entropy ,  *Tsallis entropy ,  Entropy maximization ,  clustering algorithm ,  *parameter optimization ,  *fuzzy c-means clustering

JST classification (1)： Numerical computation  (JE02000J)

Reference (20)：

• J. C. Bezdek, “Pattern Recognition with Fuzzy Objective Function Algorithms,” Prenum Press, New York, 1981.
• R. -P. Li and M. Mukaidono, “A Maximum entropy approach to fuzzy clustering,” Proc. of the 4th IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE/IFES’95), pp. 2227-2232, 1995.
• S. Miyamoto and M. Mukaidono, “Fuzzy c-means as a regularization and maximum entropy approach,” Proc. of the 7th Int. Fuzzy Systems Association World Congress, Vol.2, pp. 86-92, 1997.
• K. Rose, E. Gurewitz, and B. C. Fox, “A deterministic annealing approach to clustering,” Pattern Recognition Letters, Vol.11, No.9, pp. 589-594, 1990. 1997.
• A. De Luca and S. Termini, “A definition of a nonprobabilistic entropy in the setting of fuzzy sets theory,” Information and Control, Vol.20, pp. 301-312, 1972.

Terms in the title (4)： Tsallisエントロピー ,  ファジィc-平均クラスタリング ,  多重 ,  拡張