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Paper Abstract and Keywords
Presentation 2008-02-01 13:50
On Data Clustering by a Stochastic Embedding Method
Naoto Nishikawa, Shinji Doi, Sadatoshi Kumagai (Osaka Univ.) NLP2007-149
Abstract (in Japanese) (See Japanese page) 
(in English) The stochastic proximity embedding (SPE) is one of the data clustering methods which use given similarity among input data.
The result of data clustering by the SPE depends on the definition of similarity.
In this paper, we propose a method which automatically optimizes the similarity for data clustering by an iterative learning and extend the SPE by applying the process of the iterative learning.
Using some low-dimensional artificial data and high-dimensional practical data, we demonstrate the effectiveness of the extended SPE.
Keyword (in Japanese) (See Japanese page) 
(in English) data mining / data clustering / stochastic proximity embedding (SPE) / / / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 478, NLP2007-149, pp. 39-44, Jan. 2008.
Paper # NLP2007-149 
Date of Issue 2008-01-25 (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 2008-01-31 - 2008-02-01 
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 2008-01-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) On Data Clustering by a Stochastic Embedding Method 
Sub Title (in English)  
Keyword(1) data mining  
Keyword(2) data clustering  
Keyword(3) stochastic proximity embedding (SPE)  
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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 2008-02-01 13:50:00 
Presentation Time 25 
Registration for NLP 
Paper # IEICE-NLP2007-149 
Volume (vol) IEICE-107 
Number (no) no.478 
Page pp.39-44 
#Pages IEICE-6 
Date of Issue IEICE-NLP-2008-01-25 


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