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Paper Abstract and Keywords
Presentation 2025-12-11 11:00
Clustering of education data set by a hysteresis neural network
Seigo Nakamura, Toshimichi Saito (HU) NLP2025-57
Abstract (in Japanese) (See Japanese page) 
(in English) This paper studies application of the continuous-time hysteresis neural network (CT-HYN) to clustering for the large-scale S-P charts.
The network is a simple continuous-time recurrent neural network characterized by binary hysteresis activation function.
The dynamics is described by a piecewise linear differential equation and precise calculation of the dynamics is possible.
The S-P chart is a binary data set consisting of score vectors of students.
It can provides useful information to help instructors.
However, as number of students increases, the S-P chart becomes hard to handle.
We have presented a CT-HYN based clustering method that classifies the large-scale S-P charts into small-scale S-P charts.
Using an artificial large S-P chart, the clustering function is investigated.
In the evaluation of the clustering, the caution index and classification uniformity are used.
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. 283, NLP2025-57, pp. 22-26, Dec. 2025.
Paper # NLP2025-57 
Date of Issue 2025-12-04 (NLP) 
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 NLP2025-57

Conference Information
Committee NLP  
Conference Date 2025-12-11 - 2025-12-12 
Place (in Japanese) (See Japanese page) 
Place (in English) Kochi Castle Museum of History 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Nonlinear problem, etc 
Paper Information
Registration To NLP 
Conference Code 2025-12-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Clustering of education data set by a hysteresis neural network 
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 Seigo Nakamura  
1st Author's Affiliation HOSEI University (HU)
2nd Author's Name Toshimichi Saito  
2nd Author's Affiliation HOSEI University (HU)
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Speaker Author-1 
Date Time 2025-12-11 11:00:00 
Presentation Time 20 minutes 
Registration for NLP 
Paper # NLP2025-57 
Volume (vol) vol.125 
Number (no) no.283 
Page pp.22-26 
#Pages 5 
Date of Issue 2025-12-04 (NLP) 

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