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Paper Abstract and Keywords
Presentation 2007-06-08 15:40
Embedding High-Dimensional Data in Low-Dimensional Space by a Stochastic Method
Naoto Nishikawa, Shinji Doi, Sadatoshi Kumagai (Osaka Univ.) NLP2007-17
Abstract (in Japanese) (See Japanese page) 
(in English) The stochastic proximity embedding (SPE) is a method of data visualization in the research area of data mining.SPE can embed and classify high-dimensional data in a low-dimensional space.In this paper, we extend the SPE for interpolation of data.By comparing the extended SPE with the self-organizing map (SOM) which is the one of the data clustering methods, we demonstrate the effectiveness of the extended SPE in data classification and visualization.
Keyword (in Japanese) (See Japanese page) 
(in English) data mining / data clustering / stochastic proximity embedding (SPE) / self-organizing map (SOM) / / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 86, NLP2007-17, pp. 35-40, June 2007.
Paper # NLP2007-17 
Date of Issue 2007-06-01 (NLP) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
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reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee NLP  
Conference Date 2007-06-08 - 2007-06-09 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To NLP 
Conference Code 2007-06-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Embedding High-Dimensional Data in Low-Dimensional Space by a Stochastic Method 
Sub Title (in English)  
Keyword(1) data mining  
Keyword(2) data clustering  
Keyword(3) stochastic proximity embedding (SPE)  
Keyword(4) self-organizing map (SOM)  
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1st Author's Name Naoto Nishikawa  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Shinji Doi  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Sadatoshi Kumagai  
3rd Author's Affiliation Osaka University (Osaka Univ.)
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Speaker
Date Time 2007-06-08 15:40:00 
Presentation Time 25 
Registration for NLP 
Paper # IEICE-NLP2007-17 
Volume (vol) IEICE-107 
Number (no) no.86 
Page pp.35-40 
#Pages IEICE-6 
Date of Issue IEICE-NLP-2007-06-01 


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