Dirichlet Process GMM (DP-GMM) estimates the number of clusters in the data using an algorithm based on variational Bayesian methods. This example uses full covariance and PackOutput set to 0.
Dirichlet Process GMM (DP-GMM) estimates the number of clusters in the data using an algorithm based on variational Bayesian methods. This example uses full covariance and PackOutput set to 0.