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| Presentation | 2014-09-11 14:50 Smoothed Data Density Histogram on Self-Organizing Map and Its Application to Cluster Analysis Yuriko Tsunoda, Kouichiro Hayashi, Hideaki Kawano, Hiroshi Maeda (Kyutech)  SIS2014-57 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper proposes an automatic cluster analysis method using self-organizing feature maps (SOM). SOM-based cluster analysis methods are attracted among a lot of studies on the automatic cluster analysis methods. In most situations, a histogram, i.e. a density distribution of data, obtained from the learnt SOM involves more excessive peaks and valleys than we envisioned by the true number of clusters.In this paper, a method to smooth the histogram is proposed to make cluster analysis easier and to eliminate the unwanted extreme values. The effectiveness and the validity of the proposed method for the automatic clustering are examined for several artificially generated data. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | self-organizing feature map / cluster analysis / data density histogram / smoothing process / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 114, no. 205, SIS2014-57, pp. 45-50, Sept. 2014. | |
| Paper # | SIS2014-57 | |
| Date of Issue | 2014-09-04 (SIS) | |
| ISSN | Print edition: ISSN 0913-5685 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 | SIS2014-57 |
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| Conference Information | |
| Committee | SIS IPSJ-AVM |
| Conference Date | 2014-09-11 - 2014-09-12 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | SHONAI INDUSTRIAL PROMOTION CENTER |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Intelligent Multimedia Systems, etc. |
| Paper Information | |
| Registration To | SIS |
| Conference Code | 2014-09-SIS-AVM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Smoothed Data Density Histogram on Self-Organizing Map and Its Application to Cluster Analysis |
| Sub Title (in English) | |
| Keyword(1) | self-organizing feature map |
| Keyword(2) | cluster analysis |
| Keyword(3) | data density histogram |
| Keyword(4) | smoothing process |
| Keyword(5) | |
| Keyword(6) | |
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| Keyword(8) | |
| 1st Author's Name | Yuriko Tsunoda |
| 1st Author's Affiliation | Kyushu Institute of Technology (Kyutech) |
| 2nd Author's Name | Kouichiro Hayashi |
| 2nd Author's Affiliation | Kyushu Institute of Technology (Kyutech) |
| 3rd Author's Name | Hideaki Kawano |
| 3rd Author's Affiliation | Kyushu Institute of Technology (Kyutech) |
| 4th Author's Name | Hiroshi Maeda |
| 4th Author's Affiliation | Kyushu Institute of Technology (Kyutech) |
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| Speaker | Author-1 |
| Date Time | 2014-09-11 14:50:00 |
| Presentation Time | 20 minutes |
| Registration for | SIS |
| Paper # | SIS2014-57 |
| Volume (vol) | vol.114 |
| Number (no) | no.205 |
| Page | pp.45-50 |
| #Pages | 6 |
| Date of Issue | 2014-09-04 (SIS) |
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