Machine Learning, Clustering, Expectation Maximization, Gaussian Mixture Model, Image Clustering.
initial parameters means = init_means[:] covariances = init_covariances[:] weights = init_weights[:] # Infer length of dataset n_data = len(data) # Infer number of cluster n_clusters = len(means) # Initialize some useful variables resp = np.zeros((n_data, n_clusters), dtype=np.float64) l1 =