Bayesian Variable Selection in Clustering and Hierarchical Mixture Modeling
<p>Clustering methods are designed to separate heterogeneous data into groups of similar objects such that objects within a group are similar, and objects in different groups are dissimilar. From the machine learning perspective, clustering can also be viewed as one of the most important topic...
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2012
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| Online Access: | http://hdl.handle.net/10161/5846 |