Competing Behavior of Two Kinds of Self-Organizing Maps and Its Application to Clustering

Authors:
Haruna Matsushita;Yoshifumi Nishio
Affiliations:
The authors are with the Department of Electrical and Electronic Engineering, Tokushima University, Tokushima-shi, 770--8506 Japan. E-mail: haruna@ee.tokushima-u.ac.jp, E-mail: nishio@ee.tokushima ...;The authors are with the Department of Electrical and Electronic Engineering, Tokushima University, Tokushima-shi, 770--8506 Japan. E-mail: haruna@ee.tokushima-u.ac.jp, E-mail: nishio@ee.tokushima ...
Venue:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Year:
2007

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Abstract

The Self-Organizing Map (SOM) is an unsupervised neural network introduced in the 80's by Teuvo Kohonen. In this paper, we propose a method of simultaneously using two kinds of SOM whose features are different (the nSOM method). Namely, one is distributed in the area at which input data are concentrated, and the other self-organizes the whole of the input space. The competing behavior of the two kinds of SOM for nonuniform input data is investigated. Furthermore, we show its application to clustering and confirm its efficiency by comparing with the k-means method.