Presentation 2012-12-12
Classification Function of Hierarchy ART-Map
Yusuke Okamoto, Toshimichi Saito,
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Abstract(in English) This paper presents a novel ART-Map with hierarchical structure and considers its classification function. Although existing ART-Maps have two-layer structure, the novel ART-Map has three-layer structure for more efficient and flexible classification function. The ART-Map can construct more various shapes of categories than that by existing ART-Maps. Performing numerical experiments for a typical benchmark, the algorithm efficiency is investigated.
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Keyword(in English) Adaptive Resonance Theory (ART) / clustering / supervised learning / hierarchical structure
Paper # NC2012-77
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Committee NC
Conference Date 2012/12/5(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Classification Function of Hierarchy ART-Map
Sub Title (in English)
Keyword(1) Adaptive Resonance Theory (ART)
Keyword(2) clustering
Keyword(3) supervised learning
Keyword(4) hierarchical structure
1st Author's Name Yusuke Okamoto
1st Author's Affiliation Hosei University()
2nd Author's Name Toshimichi Saito
2nd Author's Affiliation Hosei University
Date 2012-12-12
Paper # NC2012-77
Volume (vol) vol.112
Number (no) 345
Page pp.pp.-
#Pages 5
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