Dirichlet Process Parsimonious Mixtures for clustering

no code implementations • 14 Jan 2015 • Faicel Chamroukhi, Marius Bartcus, Hervé Glotin

The proposed DPPM models are Bayesian nonparametric parsimonious mixture models that allow to simultaneously infer the model parameters, the optimal number of mixture components and the optimal parsimonious mixture structure from the data.

Clustering Model Selection