Cluster centers of the transformed data.
Size of (number of data points in) each cluster.
Name for column of features in
Number of clusters.
Number of iterations.
Name for column of predicted clusters in
DataFrame produced by model.transform().
K-means cost (sum of squared distances to the nearest centroid for all points in the training dataset).