Clustering with varying risks of false assignments in discrete latent variable model
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In clustering problems, to model the intrinsic structure of unlabeled data, the latent variable models are frequently used. These model-based clustering methods often provide a clustering rule minimizing the total false assignment error. However, in many clust... ...
