Python, Machine Learning, Clustering, K Means, Sklearn.
squares. If the changes in the within-cluster sum of squares are smaller than this value, the algorithm will stop. A common choice is to set tol=1e-04. Important attributes: cluster_centers_ contains the cluster centers. labels_ contains the label of each point. inertia_ represents the sum of