Cluster number selection for a small set of samples using the Bayesian Ying-Yang model

doi:10.1109/TNN.2002.1000144

Affiliated with RC	false
Status	已發表Published
	Cluster number selection for a small set of samples using the Bayesian Ying-Yang model
	Guo P.1; Chen C.L.P.2; Lyu M.R.3
	2002-05-01
Source Publication	IEEE Transactions on Neural Networks
ISSN	10459227
Volume	13 Issue:3 Pages:757-763
Abstract	One major problem in duster analysis is the determination of the number of clusters. In this paper, we describe both theoretical and experimental results in determining the cluster number for a small set of samples using the Bayesian-Kull-back Ying-Yang (BYY) model selection criterion. Under the second-order approximation, we derive a new equation for estimating the smoothing parameter in the cost function. Finally, we propose a gradient descent smoothing parameter estimation approach that avoids complicated integration procedure and gives the same optimal result.
Keyword	Bootstrap Cluster number selection Data smoothing SEM algorithm Small number sample set Smoothing parameter estimation
DOI	10.1109/TNN.2002.1000144
URL	View the original
Language	英語English
Fulltext Access	View Full-Text via DOI View Full-Text via Web of Science View Full-Text via Scopus
Citation statistics	Cited Times [WOS]:58 [WOS Record] [Related Records in WOS]
Document Type	Journal article
Collection	University of Macau
Affiliation	1.Beijing Normal University 2.Wright State University 3.Chinese University of Hong Kong
Recommended Citation GB/T 7714	Guo P.,Chen C.L.P.,Lyu M.R.. Cluster number selection for a small set of samples using the Bayesian Ying-Yang model[J]. IEEE Transactions on Neural Networks,2002,13(3):757-763.
APA	Guo P.,Chen C.L.P.,&Lyu M.R..(2002).Cluster number selection for a small set of samples using the Bayesian Ying-Yang model.IEEE Transactions on Neural Networks,13(3),757-763.
MLA	Guo P.,et al."Cluster number selection for a small set of samples using the Bayesian Ying-Yang model".IEEE Transactions on Neural Networks 13.3(2002):757-763.

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