Python, Machine Learning, Clustering, K Means, Sklearn.
converge. Another option is "random", which initializes the centroids randomly. "k-means++" is generally preferred. n_initspecifies the number of times the algorithm will be run with different centroid seeds. The final results will be the best output of n_init consecutive runs in terms of inertia.