| Presentation | 2003/7/11 A new clustering method based on Pattern Similarity in Large Data Sets Wei LIN, Sang-Gyu SHIN, Motomichi TOYAMA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Clustering is the process of grouping a set of objects into classes of similar objects. Although many clustering methods have been brought about, in most of these methods the concent of similarity is based on distances, e.g., Euclidean distance or Manhattan distance. lt means similar objects are required to have close values on at least a set of dimensions. Although a pattern-based clustering method has been brought about in last year, there are some problems on efficiency and extension. To solve those problems, we explore a new clustering method based on pattern in this paper. Using this method, we can find interesting clusters that can't be found by traditional methods in the analysis of scientific data or business data. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | pattern / clustering / pattern segment |
| Paper # | DE2003-97 |
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| Conference Information | |
| Committee | DE |
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| Conference Date | 2003/7/11(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 new clustering method based on Pattern Similarity in Large Data Sets |
| Sub Title (in English) | |
| Keyword(1) | pattern |
| Keyword(2) | clustering |
| Keyword(3) | pattern segment |
| 1st Author's Name | Wei LIN |
| 1st Author's Affiliation | School of Science for OPEN and Environmental Systems, Faculty of Science and Technology() |
| 2nd Author's Name | Sang-Gyu SHIN |
| 2nd Author's Affiliation | School of Science for OPEN and Environmental Systems, Faculty of Science and Technology |
| 3rd Author's Name | Motomichi TOYAMA |
| 3rd Author's Affiliation | Department of Information and Computer Science, Faculty of Science and Technology, Keio University |
| Date | 2003/7/11 |
| Paper # | DE2003-97 |
| Volume (vol) | vol.103 |
| Number (no) | 192 |
| Page | pp.pp.- |
| #Pages | 6 |
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