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Paper Abstract and Keywords
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
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
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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Conference Information
Committee SIS IPSJ-AVM  
Conference Date 2014-09-11 - 2014-09-12 
Place (in Japanese) (See Japanese page) 
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  
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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Date Time 2014-09-11 14:50:00 
Presentation Time 20 
Registration for SIS 
Paper # IEICE-SIS2014-57 
Volume (vol) IEICE-114 
Number (no) no.205 
Page pp.45-50 
#Pages IEICE-6 
Date of Issue IEICE-SIS-2014-09-04 

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