Presentation | 2008-02-01 Batch-Learning Self-Organizing Map with False-Neighbor Degree for Effective Self-Organization Haruna MATSUSHITA, Yoshifumi NISHIO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This study proposes a Batch-Learning Self-Organizing Map with False-Neighbor degree between neurons (called BL-FNSOM). False-neighbor degrees are allocated between adjacent rows and adjacent columns of BL-FNSOM. The initial values of all of the false-neighbor degrees are set to zero, however, they are increased with learning, and the false-neighbor degrees act as a burden of the distance between map nodes when the weight vectors of neurons are updated. BL-FNSOM changes the neighborhood relationship more flexibly according to the situation and the shape of data although using batch learning. We apply BL-FNSOM to some input data and confirm that FN-SOM can obtain a more effective map reflecting the distribution state of input data than the conventional Batch-Learning SOM. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | self-organizing maps (SOM) / clustering / unsupervised learning |
Paper # | NLP2007-150 |
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Conference Information | |
Committee | NLP |
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Conference Date | 2008/1/25(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Nonlinear Problems (NLP) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Batch-Learning Self-Organizing Map with False-Neighbor Degree for Effective Self-Organization |
Sub Title (in English) | |
Keyword(1) | self-organizing maps (SOM) |
Keyword(2) | clustering |
Keyword(3) | unsupervised learning |
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 | 2008-02-01 |
Paper # | NLP2007-150 |
Volume (vol) | vol.107 |
Number (no) | 478 |
Page | pp.pp.- |
#Pages | 6 |
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