A score function for Bayesian cluster analysis
arXiv:1905.10209
Abstract
We propose a score function for Bayesian clustering. The function is parameter free and captures the interplay between the within cluster variance and the between cluster entropy of a clustering. It can be used to choose the number of clusters in well-established clustering methods such as hierarchical clustering or -means algorithm.
12 pages