Predictive clustering I have an hypothesis but i don't know if it's true.

If the cluster is dense and we apply a supervised learning on this data, the model generated by this cluster will be more efficient for new data falling into this cluster than other.
Thus we have multiple cluster with associate models

How choose the right associate model to optimize our prediction ?
We can compare the value of the point to cluster's mean and apply the right model !

Any suggestions ?
You could also try tSNE, also available in scikit-learn. It is a probabilistic dimensionality reduction technique, specifically designed for plotting data in two or three dimensions, while preserving the original distances between the samples as much as possible. 

You should be able to see how well your data is clustered.