Presentation | 2001/7/11 Cluster Discriminant Analysis for Feature Space Visualization Takashi Suenaga, Arata Sato, Hitoshi Sakano, |
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PDF Download Page | PDF download Page Link |
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 |
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Conference Date | 2001/7/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Pattern Recognition and Media Understanding (PRMU) |
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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 |