| Presentation | 2005-06-23 Research on Clustering Using Two Kinds of SOMs Haruna MATSUSHITA, Yoshifumi NISHIO, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The Self-Organizing Map (SOM) is an unsupervised neural network introduced in the 80's by Teuvo Kohonen. In this study, we propose a method of using simultaneously two kinds of SOMs whose features are different. Namely, one is distributed in the area on which input data are concentrated, and the other self-organizes the whole of the input space. The competing behavior of the two kinds of SOMs for nonuniform input data is investigated. Furthermore, we show its application to clustering and confirm the efficiency by comparing with the k-means method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Self-Organizing Maps (SOM) / clustering / data mining |
| Paper # | NLP2005-25 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 2005/6/16(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Nonlinear Problems (NLP) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Research on Clustering Using Two Kinds of SOMs |
| Sub Title (in English) | |
| Keyword(1) | Self-Organizing Maps (SOM) |
| Keyword(2) | clustering |
| Keyword(3) | data mining |
| 1st Author's Name | Haruna MATSUSHITA |
| 1st Author's Affiliation | Department of Electrical and Electronic Engineering, Tokushima University() |
| 2nd Author's Name | Yoshifumi NISHIO |
| 2nd Author's Affiliation | Department of Electrical and Electronic Engineering, Tokushima University |
| Date | 2005-06-23 |
| Paper # | NLP2005-25 |
| Volume (vol) | vol.105 |
| Number (no) | 125 |
| Page | pp.pp.- |
| #Pages | 6 |
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