How to interpret silouette coefficient? I'm trying to determine number of clusters for k-means using sklearn.metrics.silhouette_score. I have computed it for range(2,50) clusters. How to interpret this? What number of clusters should I choose?
They are all bad. A good Silhouette would be 0.7

Try other clustering algorithms instead.