Machine Learning, Education, Scikit Learn, Unsupervised Learning, Clustering.
cluster centroids. Another “feature” of this algorithm is its sensitivity to the initial positions of the cluster centroids. You can run the algorithm several times and then average all the centroid results. Choosing the number of clusters for K-means In contrast to the supervised learning tasks