Machine Learning, Clustering, Python, Gaussian Mixture Model, Unsupervised Learning.
(n_samples, 2)) )) return X X = generate_elliptic() kmeans = KMeans(n_clusters=3, random_state=42) kmeans_labels = kmeans.fit_predict(X) kmeans_cluster_centers = kmeans.cluster_centers_ # the radius of each cluster kmeans_cluster_radii = [np.max(np.linalg.norm(X[kmeans_labels == i, :] -