A Bayesian Analysis of Hierarchical Mixtures with Application to Clustering Fingerprints

Abstract

Hierarchical mixture models arise naturally for clustering a heterogeneous population of objects where observations made on each object follow a standard mixture density. Hierarchical mixtures utilize complementary aspects of mixtures at different levels of the hierarchy. At the first (top) level, the mixture is used to perform clustering of the objects… (More)

Topics

8 Figures and Tables

Cite this paper

@inproceedings{Dass2008ABA, title={A Bayesian Analysis of Hierarchical Mixtures with Application to Clustering Fingerprints}, author={Sarat C. Dass and Mingfei Li}, year={2008} }