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Paper Abstract and Keywords
Presentation 2007-07-03 14:00
Dimensionality Reduction via Latent Dirichlet Allocation for Document Clustering
Tomonari Masada, Senya Kiyasu, Sueharu Miyahara (Nagasaki Univ.) DE2007-85
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we employ the latent Dirichlet allocation as a method for the dimensionality reduction
of feature vectors and reveal its effectiveness in document clustering.
In the evaluation experiment, we perform clustering on
the document sets of Japanese and Korean Web news articles.
We regard the categories assigned to each article as the ground truth of clustering evaluation.
We compare the clustering results obtained by using the feature vectors whose entries are term frequencies
with the results obtained by using the feature vectors whose dimensions are reduced by the latent Dirichlet allocation.
Keyword (in Japanese) (See Japanese page) 
(in English) document clustering / dimensionality reduction / latent Dirichlet allocation / / / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 131, DE2007-85, pp. 381-386, July 2007.
Paper # DE2007-85 
Date of Issue 2007-06-25 (DE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
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 DE  
Conference Date 2007-07-02 - 2007-07-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Akiu hot springs (Sendai) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Summer Database Workshop 2007 (Data engineering, etc.) 
Paper Information
Registration To DE 
Conference Code 2007-07-DE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Dimensionality Reduction via Latent Dirichlet Allocation for Document Clustering 
Sub Title (in English)  
Keyword(1) document clustering  
Keyword(2) dimensionality reduction  
Keyword(3) latent Dirichlet allocation  
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1st Author's Name Tomonari Masada  
1st Author's Affiliation Nagasaki University (Nagasaki Univ.)
2nd Author's Name Senya Kiyasu  
2nd Author's Affiliation Nagasaki University (Nagasaki Univ.)
3rd Author's Name Sueharu Miyahara  
3rd Author's Affiliation Nagasaki University (Nagasaki Univ.)
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Speaker Author-1 
Date Time 2007-07-03 14:00:00 
Presentation Time 25 minutes 
Registration for DE 
Paper # DE2007-85 
Volume (vol) vol.107 
Number (no) no.131 
Page pp.381-386 
#Pages 6 
Date of Issue 2007-06-25 (DE) 

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