Presentation 1994/10/21
A Note on the Parzen Classifier for Pattern Recognition
Kazuo Suzuki, Yoshihiko Hamamoto, Shingo Tomita,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) The Parzen classifier is one of statistical nonparametric classifiers.The performance of the Parzen classifier depends mainly on the window width h.Many studies have been made to find the optimum window width h.In this paper,we discuss a comparison between the two well-known methods under a practice condition that the ratio of training sample size to dimensionality is small.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Parzen classifier / Bootstrap method / leave-One-Out method / training sample size
Paper # PRU94-54
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Conference Information
Committee PRU
Conference Date 1994/10/21(1days)
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Paper Information
Registration To Pattern Recognition and Understanding (PRU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Note on the Parzen Classifier for Pattern Recognition
Sub Title (in English)
Keyword(1) Parzen classifier
Keyword(2) Bootstrap method
Keyword(3) leave-One-Out method
Keyword(4) training sample size
1st Author's Name Kazuo Suzuki
1st Author's Affiliation Faculty of Engineering,Yamaguchi University()
2nd Author's Name Yoshihiko Hamamoto
2nd Author's Affiliation Faculty of Engineering,Yamaguchi University
3rd Author's Name Shingo Tomita
3rd Author's Affiliation Faculty of Engineering,Yamaguchi University
Date 1994/10/21
Paper # PRU94-54
Volume (vol) vol.94
Number (no) 294
Page pp.pp.-
#Pages 6
Date of Issue