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Paper Abstract and Keywords
Presentation 2014-03-07 16:20
Binary Principal Points Based on Subgradient Method and Its Application
Haruka Yamashita (Keio Univ.), Yoshinobu Kawahara (Osaka Univ.) IBISML2013-82
Abstract (in Japanese) (See Japanese page) 
(in English) Analysis with Principal Points is a useful statistical tool for summarizing large data. Principal Points is defined as several representative binary patterns of given multivariate binary data in the binary region. The problem of finding Principal Points is NP-hard in general. In this study, we formulate Principal Points for multivariate binary data as the p-median problem and propose a subgradient-based method. This enables us to find a globally optimal set of Principal Points or to evaluate upper and lower bounds of a solution in the middle of the calculation. We investigate the applicability of the proposed framework with real-world data.
Keyword (in Japanese) (See Japanese page) 
(in English) Statistical data analysis / Lagrangean relaxation / Principal Points / Pattern recognization / Submodular function maximization / Greedy algorithm / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 476, IBISML2013-82, pp. 109-115, March 2014.
Paper # IBISML2013-82 
Date of Issue 2014-02-27 (IBISML) 
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 IBISML  
Conference Date 2014-03-06 - 2014-03-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Nara Women's University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Statistical mathmatics, machine learning, data mining, and other topics 
Paper Information
Registration To IBISML 
Conference Code 2014-03-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Binary Principal Points Based on Subgradient Method and Its Application 
Sub Title (in English)  
Keyword(1) Statistical data analysis  
Keyword(2) Lagrangean relaxation  
Keyword(3) Principal Points  
Keyword(4) Pattern recognization  
Keyword(5) Submodular function maximization  
Keyword(6) Greedy algorithm  
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Keyword(8)  
1st Author's Name Haruka Yamashita  
1st Author's Affiliation Keio University (Keio Univ.)
2nd Author's Name Yoshinobu Kawahara  
2nd Author's Affiliation Osaka University (Osaka Univ.)
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Speaker Author-1 
Date Time 2014-03-07 16:20:00 
Presentation Time 25 minutes 
Registration for IBISML 
Paper # IBISML2013-82 
Volume (vol) vol.113 
Number (no) no.476 
Page pp.109-115 
#Pages
Date of Issue 2014-02-27 (IBISML) 


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