Paper Abstract and Keywords |
Presentation |
2007-06-08 15:40
Embedding High-Dimensional Data in Low-Dimensional Space by a Stochastic Method Naoto Nishikawa, Shinji Doi, Sadatoshi Kumagai (Osaka Univ.) NLP2007-17 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The stochastic proximity embedding (SPE) is a method of data visualization in the research area of data mining.SPE can embed and classify high-dimensional data in a low-dimensional space.In this paper, we extend the SPE for interpolation of data.By comparing the extended SPE with the self-organizing map (SOM) which is the one of the data clustering methods, we demonstrate the effectiveness of the extended SPE in data classification and visualization. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
data mining / data clustering / stochastic proximity embedding (SPE) / self-organizing map (SOM) / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 107, no. 86, NLP2007-17, pp. 35-40, June 2007. |
Paper # |
NLP2007-17 |
Date of Issue |
2007-06-01 (NLP) |
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) |
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NLP2007-17 |
Conference Information |
Committee |
NLP |
Conference Date |
2007-06-08 - 2007-06-09 |
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(See Japanese page) |
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(See Japanese page) |
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Paper Information |
Registration To |
NLP |
Conference Code |
2007-06-NLP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Embedding High-Dimensional Data in Low-Dimensional Space by a Stochastic Method |
Sub Title (in English) |
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Keyword(1) |
data mining |
Keyword(2) |
data clustering |
Keyword(3) |
stochastic proximity embedding (SPE) |
Keyword(4) |
self-organizing map (SOM) |
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1st Author's Name |
Naoto Nishikawa |
1st Author's Affiliation |
Osaka University (Osaka Univ.) |
2nd Author's Name |
Shinji Doi |
2nd Author's Affiliation |
Osaka University (Osaka Univ.) |
3rd Author's Name |
Sadatoshi Kumagai |
3rd Author's Affiliation |
Osaka University (Osaka Univ.) |
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Speaker |
Author-1 |
Date Time |
2007-06-08 15:40:00 |
Presentation Time |
25 minutes |
Registration for |
NLP |
Paper # |
NLP2007-17 |
Volume (vol) |
vol.107 |
Number (no) |
no.86 |
Page |
pp.35-40 |
#Pages |
6 |
Date of Issue |
2007-06-01 (NLP) |
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