If I perform clustering in high-dimensional data, what kind of techniques can I use to compare the resulting clusters?
e.g. if I assume that my cluster centroids are good representation of stereotypical users in some survey data, how should I compare the centroids to gain insights into how they differ qualitatively?
Edit: Of course, if I start with a concrete hypothesis regarding particular dimensions, I could simply project the centroids on these dimensions but I'm assuming I either don't have a hypothesis or I have reasons to believe that my hypothesis is incomplete.