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LVQ clustering and SOM using a kernel function

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2 Author(s)
Inokuchi, R. ; Graduate Sch. of Syst. & Information Eng., Tsukuba Univ., Ibaraki, Japan ; Miyamoto, S.

This paper aims at discussing clustering algorithm based on learning vector quantization (LVQ) using a kernel function in support vector machines. Furthermore, self-organizing map (SOM) using a kernel function is considered. Examples of clustering using different techniques are shown and effects of the kernel function are discussed.

Published in:

Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on  (Volume:3 )

Date of Conference:

25-29 July 2004