title: Cluster number selection for a small set of samples using the Bayesian Ying-Yang model.
abstract: One major problem in cluster 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-Kullback 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.
authors.affiliation: Dept. of Comput. Sci., Beijing Normal Univ.
authors.forename: Ping
authors.initials: P
authors.lastname: Guo
authors.forename: C P
authors.initials: CP
authors.lastname: Chen
authors.forename: M R
authors.initials: MR
authors.lastname: Lyu