from sklearn datasets samples_generator import make_blobs we can visualize the dataset with the following codecenters [[ , ],[ , ],[ , ]x_ make_blobs(n_samples centers centerscluster_std plt scatter( [:, ], [:, ]plt show(nowwe need to train the mean shift cluster model with the input data ms meanshift(ms fit(xlabels ms labels_ cluster_centers ms cluster_centers_ the following code will print the cluster centers and the expected number of cluster as per the input dataprint(cluster_centersn_clusters_ len(np unique(labels)print("estimated clusters:"n_clusters_