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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NC2019-96 |
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) |
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Self-Organizing Map |
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Attribute Information |
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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 |
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Nihon University (Nihon Univ.) |
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Speaker |
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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 |
6 |
Date of Issue |
2020-02-26 (NC) |
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