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Paper Abstract and Keywords
Presentation 2026-01-29 15:55
Clustering of large scale S-P charts based on discrete-time hysteresis neural networks
Yuta Arai, Mizuki Ohira, Toshimichi Saito (HU) NLP2025-110 MBE2025-50 NC2025-72
Abstract (in Japanese) (See Japanese page) 
(in English) This paper studies application of a discrete-time hysteresis neural network to clustering for large scale S-P charts. The S-P chart is a binary data set consisting of score vectors of students and is used widely in education. As the number of students increases, the S-P chart becomes hard to handle. In order to classify the large chart into smaller charts, we introduce a simple clustering method based on the neural network. In the method, the network has multiple fixed points and their basins of attraction give clusters corresponding to the small S-P charts. In order to evaluate the clustering performance, we use average caution index of the students. Performing fundamental numerical experiment of an artificial large S-P chart, typical clustering results are demonstrated.
Keyword (in Japanese) (See Japanese page) 
(in English) Hysteresis neural networks / Clustering / S-P charts / Caution index / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 344, NLP2025-110, pp. 114-118, Jan. 2026.
Paper # NLP2025-110 
Date of Issue 2026-01-21 (NLP, MBE, 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)
Download PDF NLP2025-110 MBE2025-50 NC2025-72

Conference Information
Committee NC MBE NLP IEE-MBE  
Conference Date 2026-01-28 - 2026-01-30 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyushu Institute of Technology, Wakamatsu Campus 
Topics (in Japanese) (See Japanese page) 
Topics (in English) NC, NLP, ME, etc. 
Paper Information
Registration To NLP 
Conference Code 2026-01-NC-MBE-NLP-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Clustering of large scale S-P charts based on discrete-time hysteresis neural networks 
Sub Title (in English)  
Keyword(1) Hysteresis neural networks  
Keyword(2) Clustering  
Keyword(3) S-P charts  
Keyword(4) Caution index  
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1st Author's Name Yuta Arai  
1st Author's Affiliation Hosei University (HU)
2nd Author's Name Mizuki Ohira  
2nd Author's Affiliation Hosei University (HU)
3rd Author's Name Toshimichi Saito  
3rd Author's Affiliation Hosei University (HU)
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Speaker Author-1 
Date Time 2026-01-29 15:55:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2025-110, MBE2025-50, NC2025-72 
Volume (vol) vol.125 
Number (no) no.344(NLP), no.345(MBE), no.346(NC) 
Page pp.114-118 
#Pages 5 
Date of Issue 2026-01-21 (NLP, MBE, NC) 

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