| Presentation | 1998/3/20 A Hierarchical Clustering based on an Information Criterion Naoto Homma, Masumi Ishikawa, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Needless to say, it is much more useful to present mass of data in hierarchy of clusters than to show all of them without hierarchical structure. We propose a novel method of hierarchical clustering with the minimum information needed to describe the location of samples. Applications to real data demonstrate its usefulness. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | hierarchical clustering / information criterion / information retrieval |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 1998/3/20(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Hierarchical Clustering based on an Information Criterion |
| Sub Title (in English) | |
| Keyword(1) | hierarchical clustering |
| Keyword(2) | information criterion |
| Keyword(3) | information retrieval |
| 1st Author's Name | Naoto Homma |
| 1st Author's Affiliation | Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology() |
| 2nd Author's Name | Masumi Ishikawa |
| 2nd Author's Affiliation | Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology |
| Date | 1998/3/20 |
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| Volume (vol) | vol.97 |
| Number (no) | 624 |
| Page | pp.pp.- |
| #Pages | 8 |
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