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| Presentation | 2018-11-05 15:10 [Poster Presentation] Learning Hierarchical Structure via Nearest Neighbor Search and Formal Concept Analysis Yuka Yoneda (Osaka Univ.), Mahito Sugiyama (NII), Takashi Washio (Osaka Univ.)  IBISML2018-53 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | We propose to learn a hierarchical structure of clusters from continuous data via two-step procedure: We first binarize data points based on nearest neighbor search, followed by applying formal concept analysis (FCA) to the binarized data. FCA constructs a hierarchy of clusters, called a concept lattice, which reveals the hierarchical relationship between data points based on the algebraic closedness property. We empirically show that our method can effectively extract hierarchical structure of clusters, which allows visualization and interpretation of multivariate data. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | $k$NN / Binarization / Formal Concept Analysis / Hierarchical structure / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 284, IBISML2018-53, pp. 69-73, Nov. 2018. | |
| Paper # | IBISML2018-53 | |
| Date of Issue | 2018-10-29 (IBISML) | |
| 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) | |
| Download PDF | IBISML2018-53 |
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| Conference Information | |
| Committee | IBISML |
| Conference Date | 2018-11-05 - 2018-11-07 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hokkaido Citizens Activites Center (Kaderu 2.7) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Information-Based Induction Science Workshop (IBIS2018) |
| Paper Information | |
| Registration To | IBISML |
| Conference Code | 2018-11-IBISML |
| Language | English (Japanese title is available) |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Learning Hierarchical Structure via Nearest Neighbor Search and Formal Concept Analysis |
| Sub Title (in English) | |
| Keyword(1) | $k$NN |
| Keyword(2) | Binarization |
| Keyword(3) | Formal Concept Analysis |
| Keyword(4) | Hierarchical structure |
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| 1st Author's Name | Yuka Yoneda |
| 1st Author's Affiliation | Osaka University (Osaka Univ.) |
| 2nd Author's Name | Mahito Sugiyama |
| 2nd Author's Affiliation | National Institute of Informatics (NII) |
| 3rd Author's Name | Takashi Washio |
| 3rd Author's Affiliation | Osaka University (Osaka Univ.) |
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| Speaker | Author-1 |
| Date Time | 2018-11-05 15:10:00 |
| Presentation Time | 180 minutes |
| Registration for | IBISML |
| Paper # | IBISML2018-53 |
| Volume (vol) | vol.118 |
| Number (no) | no.284 |
| Page | pp.69-73 |
| #Pages | 5 |
| Date of Issue | 2018-10-29 (IBISML) |
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