Presentation 2004-12-17
Nonparametric Classification by Covering Using Family of Minimum Enclosing Spheres
Ichigaku TAKIGAWA, Mineichi KUDO,
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Abstract(in English) We propose a nonparametric multi-class classifier based on a family of spheres, each of which is the minimum covering sphere for a subset of positive samples and does not contain any negative samples. We first reformulate the subclass method originally defined for axis-parallel rectangles. According to our new framework, we introduce an exact algorithm and an efficient incremental randomized algorithm to construct a subclass family. In addition, we propose the soft-classification version of subclass method and evaluate these algorithms by some numerical experiments.
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Keyword(in English) subclass method / class cover problem / smallest enclosing ball / prototype-based classification
Paper # PRMU2004-140
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Committee PRMU
Conference Date 2004/12/10(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Nonparametric Classification by Covering Using Family of Minimum Enclosing Spheres
Sub Title (in English)
Keyword(1) subclass method
Keyword(2) class cover problem
Keyword(3) smallest enclosing ball
Keyword(4) prototype-based classification
1st Author's Name Ichigaku TAKIGAWA
1st Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University()
2nd Author's Name Mineichi KUDO
2nd Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University
Date 2004-12-17
Paper # PRMU2004-140
Volume (vol) vol.104
Number (no) 524
Page pp.pp.-
#Pages 6
Date of Issue