| Presentation | 2006-06-16 Self-Organizing Map of Self-Organizing Maps : A Proposal of "Bundle Learning" Tetsuo FURUKAWA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Kohonen's self-organizin map (SOM) is an architecture that generates a map of a given dataset. In this paper, a novel extension of SOM called SOM^2 is proposed. The mapping objects of SOM^2 are SOMs themselves, each of which represents a set of data vectors. Thus, the entire SOM^2 represents a set of data distributions. SOM^2 is expected to be a powerful tool for the classification, estimation and recongnition tasks relevant to nonlinear manifolds. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | self-organizing map / SOM / mnSOM / fiber bundle / homotopy / manifold |
| Paper # | NC2006-34 |
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| Committee | NC |
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| Conference Date | 2006/6/9(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) | Self-Organizing Map of Self-Organizing Maps : A Proposal of "Bundle Learning" |
| Sub Title (in English) | |
| Keyword(1) | self-organizing map |
| Keyword(2) | SOM |
| Keyword(3) | mnSOM |
| Keyword(4) | fiber bundle |
| Keyword(5) | homotopy |
| Keyword(6) | manifold |
| 1st Author's Name | Tetsuo FURUKAWA |
| 1st Author's Affiliation | Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology() |
| Date | 2006-06-16 |
| Paper # | NC2006-34 |
| Volume (vol) | vol.106 |
| Number (no) | 102 |
| Page | pp.pp.- |
| #Pages | 6 |
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