Presentation 2016-12-12
Visualization and Classification by ElasticSOM
Yuto Take, Pitoyo Hartono,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Due to its simplicity, Self-Organizing Maps(SOM) are often utilized to visualize high dimensional data. While SOM is able to preserve the intrinsic topological characteristics of the high dimensional data, unlike Multidimensional Scaling(MDS), it often fails to preserve the inter-distance relations of data. In this study, we propose a visualization algorithm called Elastic SOM, which preserves not only the topological structure of the data but also their distances. Different from the traditional MDS, the proposed algorithm can also be used as a classifier.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Self-Organizing Maps / Multidimensional Scaling Method / Neural Network / Dimension Reduction / Classification
Paper # NLP2016-89
Date of Issue 2016-12-05 (NLP)

Conference Information
Committee NLP
Conference Date 2016/12/12(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Chukyo Univ.
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Hisato Fujisaka(Hiroshima City Univ.)
Vice Chair Masaharu Adachi(Tokyo Denki Univ.)
Secretary Masaharu Adachi(Konan Univ.)
Assistant Hiroyuki Asahara(Okayama Univ. of Science) / Toshihiro Tachibana(Shonan Inst. of Tech.)

Paper Information
Registration To Technical Committee on Nonlinear Problems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Visualization and Classification by ElasticSOM
Sub Title (in English)
Keyword(1) Self-Organizing Maps
Keyword(2) Multidimensional Scaling Method
Keyword(3) Neural Network
Keyword(4) Dimension Reduction
Keyword(5) Classification
1st Author's Name Yuto Take
1st Author's Affiliation Chukyo University(Chukyo Univ.)
2nd Author's Name Pitoyo Hartono
2nd Author's Affiliation Chukyo University(Chukyo Univ.)
Date 2016-12-12
Paper # NLP2016-89
Volume (vol) vol.116
Number (no) NLP-353
Page pp.pp.27-32(NLP),
#Pages 6
Date of Issue 2016-12-05 (NLP)