scikit-learn: Finding the features that contribute to each KMeans cluster

Question

Say you have 10 features you are using to create 3 clusters. Is there a way to see the level of contribution each of the features have for each of the clusters?

What I w

Answer 1

Try this,

estimator=KMeans()
estimator.fit(X)
res=estimator.__dict__
print res['cluster_centers_']

You will get matrix of cluster and feature_weights, from that you can conclude, the feature having more weight takes major part to contribute cluster.