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A simple and fast visualization tool for parameter selection during cluster analysis

Given a family of clusterings of a fixed set, it partitions this family using a voting-style algorithm. If the family is parametrized by two numbers (such as the output of running HDBSCAN or DBSCAN with a range of parameters) we display the partitioning in 2D.

See the python notebook for an example, and https://arxiv.org/abs/1902.01436 for a description of the algorithm.

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A simple and fast visualization tool for parameter selection in cluster analysis.

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