Presentation 2005/11/12
Research on Competing and Accommodating Behaviors of Peace SOM
Haruna MATSUSHITA, Yoshifumi NISHIO,
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Abstract(in English) The Self-Organizing Map (SOM) attracts attentions for clustering in these years. In our past study, we have proposed a method using simultaneously two kinds of SOMs whose features are different, namely, one self-organizes the area on which input data are concentrated, and the other self-organizes the whole of the input space. Further, we have applied this method to clustering of data including a lot of noises and have confirmed the efficiency. However, in order to obtain an efficient clustering performance using this method, we must determine the appropriate number of the SOMs used in the method. In this study, we propose the Peace Self-Organizing Map (PSOM) algorithm which possesses both competing and accommodating abilities. The competing and the accommodating behaviors of PSOM are investigated with applications to clustering input data including a lot of noises. We can see that PSOM successfully extracts clusters even in the case that we do not know the number of clusters in advance.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Self-Organizing Maps (SOM) / Clustering / Data Mining
Paper # NC2005-74
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Committee NC
Conference Date 2005/11/12(1days)
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Registration To Neurocomputing (NC)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Research on Competing and Accommodating Behaviors of Peace SOM
Sub Title (in English)
Keyword(1) Self-Organizing Maps (SOM)
Keyword(2) Clustering
Keyword(3) Data Mining
1st Author's Name Haruna MATSUSHITA
1st Author's Affiliation Department of Electrical and Electronic Engineering, Tokushima University()
2nd Author's Name Yoshifumi NISHIO
2nd Author's Affiliation Department of Electrical and Electronic Engineering, Tokushima University
Date 2005/11/12
Paper # NC2005-74
Volume (vol) vol.105
Number (no) 419
Page pp.pp.-
#Pages 4
Date of Issue