From here to infinity: sparse finite versus Dirichlet process mixtures in model-based clustering
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In model-based clustering mixture models are used to group data points into clusters. A useful concept introduced for Gaussian mixtures by Malsiner Walli et al. (Stat Comput 26:303-324, 2016) are sparse finite mixtures, where the prior distribution on the weig... ...
