Presentation 2001/7/11
Cluster Discriminant Analysis for Feature Space Visualization
Takashi Suenaga, Arata Sato, Hitoshi Sakano,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we propose a new approach for feature space visualization, preserving a pattern distribution structure. In statistical pattern recognition, it is useful to obtain a two- or three- dimensional projection of the given multivariate data to permit a visual examination of the data. The principal components analysis and the quantification theories are traditional dimensionality reduction techniques for fearture space visialization of multivariate data. A two- or three- dimensional mapping using these techniques usually breaks a pattern distribution structure of the data, which is not considerd by the projection. On the contray, we propose a new approach of a dimensional reduction technique preserving a pattern distribution structure analyzed in feature space. And we propose a novel visualization method under our approach, called the cluster discriminant analysis:an optimal linear projection for a cluster structure of the data. In addition, our method is applied to an interface of database retrieval.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) visualization / data base retrieval / clustering / discriminant analysis / discriminant analysis with kernel
Paper # IE2001-24,PRMU2001-44,MVE2001-23
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Conference Information
Committee PRMU
Conference Date 2001/7/11(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Cluster Discriminant Analysis for Feature Space Visualization
Sub Title (in English)
Keyword(1) visualization
Keyword(2) data base retrieval
Keyword(3) clustering
Keyword(4) discriminant analysis
Keyword(5) discriminant analysis with kernel
1st Author's Name Takashi Suenaga
1st Author's Affiliation NTT Data Corporation()
2nd Author's Name Arata Sato
2nd Author's Affiliation NTT Data Corporation
3rd Author's Name Hitoshi Sakano
3rd Author's Affiliation NTT Data Corporation
Date 2001/7/11
Paper # IE2001-24,PRMU2001-44,MVE2001-23
Volume (vol) vol.101
Number (no) 202
Page pp.pp.-
#Pages 8
Date of Issue