Information: Join today and make your research activities more affordable! Technical workshop participation fees and annual registration fees are available at member rates.
Notice: [Important] Announcement of Changes to Registration Fee Payment and Manuscript Upload Procedures for IEICE Technical Meetings
IEICE Technical Committee Submission System
Conference Paper's Information		 Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2017-05-25 15:10
Graph Learning for Spectral Clustering using Low-rank and Sparse Decomposition
Taiju Kanada, Masaki Onuki, Yuichi Tanaka (TUAT) SIP2017-10 IE2017-10 PRMU2017-10 MI2017-10
Abstract (in Japanese) (See Japanese page) 
(in English) Spectral clustering is a method of clustering using eigenvectors of graph Laplacian. By using appropriate graphs, it is known that spectral clustering shows superior results compared to other clustering methods such as the k-means method. That is, the performance of spectral clustering strongly depends on the graph. In this report, we propose a method to create a refined graph by low-rank/sparse decomposition of the adjacency matrix in order to improve the performance of spectral clustering.
Keyword (in Japanese) (See Japanese page) 
(in English) Graph learning / low-rank sparse decomposition / ADMM / spectral clustering / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 47, SIP2017-10, pp. 55-60, May 2017.
Paper # SIP2017-10 
Date of Issue 2017-05-18 (SIP, IE, PRMU, MI) 
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 SIP2017-10 IE2017-10 PRMU2017-10 MI2017-10

Conference Information
Committee PRMU IE MI SIP  
Conference Date 2017-05-25 - 2017-05-26 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SIP 
Conference Code 2017-05-PRMU-IE-MI-SIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Graph Learning for Spectral Clustering using Low-rank and Sparse Decomposition 
Sub Title (in English)  
Keyword(1) Graph learning  
Keyword(2) low-rank sparse decomposition  
Keyword(3) ADMM  
Keyword(4) spectral clustering  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Taiju Kanada  
1st Author's Affiliation Tokyo University of Agriculture and Technology (TUAT)
2nd Author's Name Masaki Onuki  
2nd Author's Affiliation Tokyo University of Agriculture and Technology (TUAT)
3rd Author's Name Yuichi Tanaka  
3rd Author's Affiliation Tokyo University of Agriculture and Technology (TUAT)
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
21st Author's Name  
21st Author's Affiliation ()
22nd Author's Name  
22nd Author's Affiliation ()
23rd Author's Name  
23rd Author's Affiliation ()
24th Author's Name  
24th Author's Affiliation ()
25th Author's Name  
25th Author's Affiliation ()
26th Author's Name / /
26th Author's Affiliation ()
()
27th Author's Name / /
27th Author's Affiliation ()
()
28th Author's Name / /
28th Author's Affiliation ()
()
29th Author's Name / /
29th Author's Affiliation ()
()
30th Author's Name / /
30th Author's Affiliation ()
()
31st Author's Name / /
31st Author's Affiliation ()
()
32nd Author's Name / /
32nd Author's Affiliation ()
()
33rd Author's Name / /
33rd Author's Affiliation ()
()
34th Author's Name / /
34th Author's Affiliation ()
()
35th Author's Name / /
35th Author's Affiliation ()
()
36th Author's Name / /
36th Author's Affiliation ()
()
Speaker Author-1 
Date Time 2017-05-25 15:10:00 
Presentation Time 30 minutes 
Registration for SIP 
Paper # SIP2017-10, IE2017-10, PRMU2017-10, MI2017-10 
Volume (vol) vol.117 
Number (no) no.47(SIP), no.48(IE), no.49(PRMU), no.50(MI) 
Page pp.55-60 
#Pages 6 
Date of Issue 2017-05-18 (SIP, IE, PRMU, MI) 

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan