Clustering based on Dirichlet mixtures of attribute subsets


We discuss a model-based approach to identifying clusters of objects based on subsets of attributes, so that the attributes that distinguish a cluster from the rest of the population may depend on the cluster being considered. The method is based on a Pólya urn cluster model for multivariate means and variances, resulting in a multivariate Dirichlet process… (More)


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