Machine Learning, Clustering, Expectation Maximization, Gaussian Mixture Model, Image Clustering.
resp(numpy array) : responsibility numpy array size (n_sample, n_clusters) def get_soft_counts(resp): return np.sum(resp, axis=0) # counts (numpy array) : count list of sum of soft counts for all clusters of size (n_cluster) def get_weights(counts): n_clusters = len(counts) sum_count =