What is the difference between "Bayesian Gaussian Mixture Model" and "Dirichlet Process Gaussian mixtures model" in the Sklearn Python library?

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This is the link of Byesian Gaussian Mixure model. BayesianGaussianMixture

Is it by default parameters a "Dirichlet Process Gaussian mixtures" model ?

scikit-learn gaussian python
1 Answers

It seems like it is, by default. From the documentation for v1.0.2:

This class implements two types of prior for the weights distribution: a finite mixture model with Dirichlet distribution and an infinite mixture model with the Dirichlet Process

This is set in the weight_concentration_prior_type parameter and the Dirichlet Process is the default.

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