Why were particular clusters formed?

I'm using scikit in Python for some high-dimensional clustering. Clustering algorithms such as KMeans or DBSCAN spit out a bunch of clusters and I can intuitively see why they were grouped together.

However, is there any way to formally determine why the algorithm selected particular clusters i.e. highlight the features that were the most common.