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Paper Abstract and Keywords
Presentation 2021-03-05 10:50
A trial of quantitative evaluation focused on area change in self-organizing map
Yuto Nakashima, Hiroshi Wakuya (Saga Univ.), Fukuko Moriya (Kurume Univ.), Kaoru Araki, Hideaki Itoh (Saga Univ.) SIS2020-56
Abstract (in Japanese) (See Japanese page) 
(in English) A self-organizing map (SOM) is one of the AI techniques to visualize an applied multi-dimensional data set onto the two-dimensional plane as a feature map. Another technique to develop a simplified feature map without unnecessary items is proposed so far. These techniques remind us an idea that each area arranged on the feature map will change depending on importance of the withdrawn items. In the preceding study, its idea is applied to analyze a questionnaire survey, and its possibility is confirmed through some qualitative evaluation. As a next step, quantitative evaluation from the viewpoint of statistical indexes,
i.e., average and standard deviation, of each item is carried out. Our preliminary assumption is that distribution of binary data(0/1) in the item is an essential factor to define the size of each area. As a result of some computer simulations, it is found that some essential items are estimated successfully in case of the above-mentioned questionnaire survey.
Keyword (in Japanese) (See Japanese page) 
(in English) self-organizing map (SOM) / area change / questionnaire analysis / standard deviation / quantitative evaluation / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 415, SIS2020-56, pp. 114-119, March 2021.
Paper # SIS2020-56 
Date of Issue 2021-02-25 (SIS) 
ISSN Online edition: ISSN 2432-6380
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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 SIS  
Conference Date 2021-03-04 - 2021-03-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Soft Computing, etc. 
Paper Information
Registration To SIS 
Conference Code 2021-03-SIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A trial of quantitative evaluation focused on area change in self-organizing map 
Sub Title (in English)  
Keyword(1) self-organizing map (SOM)  
Keyword(2) area change  
Keyword(3) questionnaire analysis  
Keyword(4) standard deviation  
Keyword(5) quantitative evaluation  
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1st Author's Name Yuto Nakashima  
1st Author's Affiliation Saga University (Saga Univ.)
2nd Author's Name Hiroshi Wakuya  
2nd Author's Affiliation Saga University (Saga Univ.)
3rd Author's Name Fukuko Moriya  
3rd Author's Affiliation Kurume University (Kurume Univ.)
4th Author's Name Kaoru Araki  
4th Author's Affiliation Saga University (Saga Univ.)
5th Author's Name Hideaki Itoh  
5th Author's Affiliation Saga University (Saga Univ.)
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Speaker Author-1 
Date Time 2021-03-05 10:50:00 
Presentation Time 20 minutes 
Registration for SIS 
Paper # SIS2020-56 
Volume (vol) vol.120 
Number (no) no.415 
Page pp.114-119 
#Pages
Date of Issue 2021-02-25 (SIS) 


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