I'm a student in Data Analysis, working on a data clustering exercise.
Two clusters have been identified based on a dataset with 40 features. To interpret and label these clusters, I'm wondering if there is a way to determine which features are the most determinant in the clustering output. For instance, I would imagine that I could take out one feature from the clustering and see how much it affects the output. However there are probably smarter ways.
I would greatly appreciate if someone could point me in the right direction.