Competing Behavior of Two Kinds of Self-Organizing Maps and Its Application to Clustering(Neural Networks and Bioengineering)

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概要

• 論文の詳細を見る

• 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.

• 社団法人電子情報通信学会の論文
• 2007-04-01

著者

• NISHIO Yoshifumi

  Department of Electrical and Electronic Engineering, Tokushima University

• Nishio Yoshifumi

  Faculty Of Engineering Tokushima University

• NISHIO Yoshifumi

  the Faculty of Engineering, Tokushima University

• Nishio Yoshifumi

  Electrical And Electronic Engineering The University Of Tokushima

• Nishio Yoshifumi

  Department Of Electrical And Electronic Engineering Tokushima University

• MATSUSHITA Haruna

  Department of Electrical and Electronic Engineering, Tokushima University

• Nishio Yoshifumi

  Department Of Dept. Of Electrical And Electronics Engineering Tokushima University

• Nishio Yoshifumi

  The Faculty Of Science And Technology Keio University

• Matsushita Haruna

  Tokushima Univ. Tokushima‐shi Jpn

• Matsushita Haruna

  Department Of Electrical And Electronic Engineering Tokushima University

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