Paper Abstract and Keywords |
Presentation |
2019-10-12 10:50
An Optimization for Classification by Self-Organizing Maps Based on Attribute Information Tetsuya Sato (Nihon Univ.), Kazuma Tsuchida (STUDIO ONE OR EIGHT), Yukari Yamauti (Nihon Univ.) MBE2019-41 NC2019-32 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Self-Organizing Map (SOM) is a simple algorithm that has excellent clustering capabilities and adapts continuous changes. However, since SOM performs neighborhood learning based on the similarity to the best matching unit, there is a problem that the same class is distributed and the boundary between classes becomes unclear. In this research, the learning rate of SOM is determined by weighted attribute information of the input data class. The proposed method reduced class dispersion about 50% and improves classification accuracy more than 1 % compared to conventional method by suppressing intervention in other classes. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Self-Organizing Map / Supervised Learning / Attribute Information / Handwriting Recognition / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 225, NC2019-32, pp. 59-63, Oct. 2019. |
Paper # |
NC2019-32 |
Date of Issue |
2019-10-04 (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) |
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MBE2019-41 NC2019-32 |
Conference Information |
Committee |
MBE NC |
Conference Date |
2019-10-11 - 2019-10-12 |
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(See Japanese page) |
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Paper Information |
Registration To |
NC |
Conference Code |
2019-10-MBE-NC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
An Optimization for Classification by Self-Organizing Maps Based on Attribute Information |
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Self-Organizing Map |
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Supervised Learning |
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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 |
Kazuma Tsuchida |
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STUDIO ONE OR EIGHT (STUDIO ONE OR EIGHT) |
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Yukari Yamauti |
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Nihon University (Nihon Univ.) |
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Speaker |
Author-1 |
Date Time |
2019-10-12 10:50:00 |
Presentation Time |
15 minutes |
Registration for |
NC |
Paper # |
MBE2019-41, NC2019-32 |
Volume (vol) |
vol.119 |
Number (no) |
no.224(MBE), no.225(NC) |
Page |
pp.59-63 |
#Pages |
5 |
Date of Issue |
2019-10-04 (MBE, NC) |
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