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Paper Abstract and Keywords
Presentation 2019-10-12 10:50
An Optimization for Classification by Self-Organizing Maps Based on Attribute Information
Tetsuya Sato (Nihon Univ.), Kazuma Tsuchida (STUDIO ONE OR EIGHT), Yukari Yamauti (Nihon Univ.) MBE2019-41 NC2019-32
Abstract (in Japanese) (See Japanese page) 
(in English) Self-Organizing Map (SOM) is a simple algorithm that has excellent clustering capabilities and adapts continuous changes. However, since SOM performs neighborhood learning based on the similarity to the best matching unit, there is a problem that the same class is distributed and the boundary between classes becomes unclear. In this research, the learning rate of SOM is determined by weighted attribute information of the input data class. The proposed method reduced class dispersion about 50% and improves classification accuracy more than 1 % compared to conventional method by suppressing intervention in other classes.
Keyword (in Japanese) (See Japanese page) 
(in English) Self-Organizing Map / Supervised Learning / Attribute Information / Handwriting Recognition / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 225, NC2019-32, pp. 59-63, Oct. 2019.
Paper # NC2019-32 
Date of Issue 2019-10-04 (MBE, NC) 
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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF MBE2019-41 NC2019-32

Conference Information
Committee MBE NC  
Conference Date 2019-10-11 - 2019-10-12 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To NC 
Conference Code 2019-10-MBE-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Optimization for Classification by Self-Organizing Maps Based on Attribute Information 
Sub Title (in English)  
Keyword(1) Self-Organizing Map  
Keyword(2) Supervised Learning  
Keyword(3) Attribute Information  
Keyword(4) Handwriting Recognition  
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1st Author's Name Tetsuya Sato  
1st Author's Affiliation Nihon University (Nihon Univ.)
2nd Author's Name Kazuma Tsuchida  
2nd Author's Affiliation STUDIO ONE OR EIGHT (STUDIO ONE OR EIGHT)
3rd Author's Name Yukari Yamauti  
3rd Author's Affiliation Nihon University (Nihon Univ.)
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Speaker
Date Time 2019-10-12 10:50:00 
Presentation Time 15 
Registration for NC 
Paper # IEICE-MBE2019-41,IEICE-NC2019-32 
Volume (vol) IEICE-119 
Number (no) no.224(MBE), no.225(NC) 
Page pp.59-63 
#Pages IEICE-5 
Date of Issue IEICE-MBE-2019-10-04,IEICE-NC-2019-10-04 


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