Summary

International Symposium on Nonlinear Theory and its Applications

2009

Session Number:C1L-B

Session:

Number:C1L-B2

p-Norm Based Fuzzy c-Means

Takatomi Miyata,  Yuchi Kanzawa,  

pp.-

Publication Date:2009/10/18

Online ISSN:2188-5079

DOI:10.34385/proc.43.C1L-B2

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Summary:
In this paper, we propose two variants of Fuzzy c-Means (FCM) clustering algorithms. Both models are extension of conventional FCM in which not only squared Euclidian norm, L1 norm but also p-norm to the qth power are used as the dissimilarity. One is constructed by using Newton method, and the other, only for the case of p = 2, is constructed by using alternative optimization.