Presentation 2022-12-16
On partitioning of the space of one-dimensional normal distributions based on e(m)-divergence
Jun Fujiki, Shotaro Akaho,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Partitioning of the space of one-dimensional normal distributions based on e(m)-divergence is useful when clustering and/or discriminating a set of one-dimensional normal distributions. This paper introduces Tissot's indicatrix and bisector based on e(m)-divergence in the space of one-dimensional normal distributions.This paper also considersome application of this partitioning for prototype method and two-class discrimination based on e(m)-PCA.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) information geometry / Kullback-Leibler divergence / principal component analysis / discriminant analysis
Paper # PRMU2022-54
Date of Issue 2022-12-08 (PRMU)

Conference Information
Committee PRMU
Conference Date 2022/12/15(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Toyama International Conference Center
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Seiichi Uchida(Kyushu Univ.)
Vice Chair Takuya Funatomi(NAIST) / Mitsuru Anpai(Denso IT Lab.)
Secretary Takuya Funatomi(CyberAgent) / Mitsuru Anpai(Univ. of Tokyo)
Assistant Nakamasa Inoue(Tokyo Inst. of Tech.) / Yasutomo Kawanishi(Riken)

Paper Information
Registration To Technical Committee on Pattern Recognition and Media Understanding
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) On partitioning of the space of one-dimensional normal distributions based on e(m)-divergence
Sub Title (in English)
Keyword(1) information geometry
Keyword(2) Kullback-Leibler divergence
Keyword(3) principal component analysis
Keyword(4) discriminant analysis
1st Author's Name Jun Fujiki
1st Author's Affiliation Fukuoka University(Fukuoka Univ.)
2nd Author's Name Shotaro Akaho
2nd Author's Affiliation National Institute of Advanced Industrial Science and Technology(AIST)
Date 2022-12-16
Paper # PRMU2022-54
Volume (vol) vol.122
Number (no) PRMU-314
Page pp.pp.116-121(PRMU),
#Pages 6
Date of Issue 2022-12-08 (PRMU)