Spaces of Clusterings
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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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