KMeans to initialize with actual centroids

[ganik]

In scikit-learn one can do: pca = PCA(n_components=n_digits).fit(data) estimator = KMeans(init=pca.components_, n_clusters=n_digits, n_init=1)

Would be great to allow this in NimbusML