# run again with fixed components, and full covariance type bay_gauss = BayesianGaussianMixture(n_components=3, covariance_type='full', weight_concentration_prior_type='dirichlet_process', mean_precision_prior=1, weight_concentration_prior=1, init_params='kmeans', random_state=12)