Machine Learning, Clustering, Python, Gaussian Mixture Model, Unsupervised Learning.
as plt from sklearn.cluster import KMeans np.random.seed(42) def generate_circular(n_samples=500): X = np.concatenate(( np.random.normal(0, 1, (n_samples, 2)), np.random.normal(5, 1, (n_samples, 2)), np.random.normal(10, 1, (n_samples, 2)) )) return X X = generate_circular() kmeans =