Spaces of Clusterings

We propose two algorithms to partition a set of clusterings of a fixed dataset, such as sets of clusterings produced by running a clustering algorithm with a range of parameters. This provides useful information for parameter selection. We use these algorithms to study the effects of varying the parameters of DBSCAN and HDBSCAN, and to study methods for initializing $k$-means.