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Paper Abstract and Keywords
Presentation 2020-03-05 13:50
A Proposal of Self-Organizing Maps Based on Learning with Attribute Information
Tetsuya Sato, Yukari Yamauti (Nihon Univ.) NC2019-96
Abstract (in Japanese) (See Japanese page) 
(in English) Self-organizing maps(SOM) is a simple algorithm, and has excellent clustering capabilities. However, since SOM performs neighborhood learning based on the similarity with the best matching unit, nodes that belongs to same class are scattered on the competitive layer and affects around nodes. Therefore, nodes on boundaries between classes becomes unclear. In this study, we define the degree of belonging to each class on the competitive layer from attribute information, and use as weights to the learning rate in neighborhood learning of SOM. This aims to reduce scattered nodes on the competitive layer and improve classification accuracy. And the proposal method can label on competing layers from accumulated attribute information. In the experiment, we used a dataset of handwritten digits to evaluate the degree of scattered classes and the classification accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) Self-Organizing Map / Attribute Information / Handwriting Recognition / / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 453, NC2019-96, pp. 119-124, March 2020.
Paper # NC2019-96 
Date of Issue 2020-02-26 (NC) 
ISSN 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 NC MBE  
Conference Date 2020-03-04 - 2020-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) University of Electro Communications 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Neuro Computing, Medical Engineering, etc. 
Paper Information
Registration To NC 
Conference Code 2020-03-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Proposal of Self-Organizing Maps Based on Learning with Attribute Information 
Sub Title (in English)  
Keyword(1) Self-Organizing Map  
Keyword(2) Attribute Information  
Keyword(3) Handwriting Recognition  
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1st Author's Name Tetsuya Sato  
1st Author's Affiliation Nihon University (Nihon Univ.)
2nd Author's Name Yukari Yamauti  
2nd Author's Affiliation Nihon University (Nihon Univ.)
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Speaker Author-1 
Date Time 2020-03-05 13:50:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2019-96 
Volume (vol) vol.119 
Number (no) no.453 
Page pp.119-124 
#Pages
Date of Issue 2020-02-26 (NC) 


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