Transactions of the Institute of Systems, Control and Information Engineers
Online ISSN : 2185-811X
Print ISSN : 1342-5668
Simultaneous Application of Fuzzy Clustering and Correspondence Analysis
Yoshihiko KANAUMIAsuka YAMAKAWAHidetomo ICHIHASHITetsuya MIYOSHI
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1999 Volume 12 Issue 3 Pages 191-198

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Abstract

An algorithm which simultaneously applies the Fuzzy c-Means clustering and the correspondence analysis is developed. Maximization of an objective function yields memberships of fuzzy clusters and assigns values to categories and patterns. A regularization term is introduced in the objective function and we apply the Lagrangean multiplier method and an adaptive method using eigenvalues in the correspondence analysis.

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