| Presentation | 2005-07-13 A Method for Detecting Outlier Documents Using a Hierarchy of Clusters Masaki AONO, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Outlier detection is an important application in data mining community. We present an algorithm to generate a hierarchy of clusters for detecting "outlier" documents using the hierarchy. We also describe a comparative study of our proposed method with previously known methods. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Outlier detection / Co-clustering / Cluster hierarchy |
| Paper # | DE2005-30 |
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| Conference Information | |
| Committee | DE |
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| Conference Date | 2005/7/6(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Data Engineering (DE) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Method for Detecting Outlier Documents Using a Hierarchy of Clusters |
| Sub Title (in English) | |
| Keyword(1) | Outlier detection |
| Keyword(2) | Co-clustering |
| Keyword(3) | Cluster hierarchy |
| 1st Author's Name | Masaki AONO |
| 1st Author's Affiliation | Information of Computer Sciences Department, Toyohashi University of Technology() |
| Date | 2005-07-13 |
| Paper # | DE2005-30 |
| Volume (vol) | vol.105 |
| Number (no) | 171 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |