Selecting the number of clusters, clustering models, and algorithms. A unifying approach based on the quadratic discriminant score

Luca Coraggio, Pietro Coretto

Cluster analysis requires many decisions: the clustering method and the implied reference model, the number of clusters and, often, several hyper-parameters and algorithms' tunings…