Mixture Model Averaging for Clustering

23 Dec 2012Yuhong WeiPaul D. McNicholas

In mixture model-based clustering applications, it is common to fit several models from a family and report clustering results from only the `best' one. In such circumstances, selection of this best model is achieved using a model selection criterion, most often the Bayesian information criterion... (read more)

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