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Model-Based Hierarchical Clustering
[article]
2013
arXiv
pre-print
We present an approach to model-based hierarchical clustering by formulating an objective function based on a Bayesian analysis. This model organizes the data into a cluster hierarchy while specifying a complex feature-set partitioning that is a key component of our model. Features can have either a unique distribution in every cluster or a common distribution over some (or even all) of the clusters. The cluster subsets over which these features have such a common distribution correspond to the
arXiv:1301.3899v1
fatcat:2weuuv4c75clza6upzfohtmeba