Machine Learning, Clustering, Expectation Maximization, Gaussian Mixture Model, Image Clustering.
np.sum(counts) weights = np.array(list(map(lambda k : counts[k]/sum_count, range(n_clusters)))) return weights Updates means: The mean of each cluster is equal to the weighted average of all data points, weighted by the cluster responsibilities. Mathematically for each data point xi and