Spaces of Clusterings. (arXiv:1902.01436v1 [stat.ML])

We propose two algorithms to cluster a set of clusterings of a fixed dataset, such as sets of clusterings produced by running a clustering algorithm with a range of parameters, or with many initializations. We use these to study the effects of varying the parameters of HDBSCAN, and to study methods for initializing $k$-means.

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