Presentation 2005-07-13
On difference-conscious clustering and its feature aggregation methods
Masashi WATANABE, Shigeyoshi OHNO, Manabu OHTA, Kaoru KATAYAMA, Hiroshi ISHIKAWA,
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Abstract(in English) Clustering is very useful analysing a huge amount of data. It is preferable that we can understand relationships between clusters intuitively in order to reach necessary information within the clustering results. Then, we propose a method of analyzing differences between clusters by using visualization. We a two-dimensional map display based on MDS(MultiDimensional Scaling) for visualization in this article. In addition, we examine two methods for aggregating the features used for clustering, one of which is based on the tf-idf weight of feature terms and the other on a rank aggregation method called the MEDRANK.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Clustring / Aggregation
Paper # DE2005-56
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Committee DE
Conference Date 2005/7/6(1days)
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Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) On difference-conscious clustering and its feature aggregation methods
Sub Title (in English)
Keyword(1) Clustring
Keyword(2) Aggregation
1st Author's Name Masashi WATANABE
1st Author's Affiliation Tokyo Metropolitan University, Engineering()
2nd Author's Name Shigeyoshi OHNO
2nd Author's Affiliation Department of Information and Computer Science, Polytechnic University
3rd Author's Name Manabu OHTA
3rd Author's Affiliation Graduate School of Natural Science and Technology, Okayama University
4th Author's Name Kaoru KATAYAMA
4th Author's Affiliation Tokyo Metropolitan University, Engineering:Tokyo Metropolitan University, System Design
5th Author's Name Hiroshi ISHIKAWA
5th Author's Affiliation Tokyo Metropolitan University, Engineering:Tokyo Metropolitan University, System Design
Date 2005-07-13
Paper # DE2005-56
Volume (vol) vol.105
Number (no) 171
Page pp.pp.-
#Pages 6
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