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arXiv · 1705.07321

Accelerated Hierarchical Density Clustering

Leland McInnes·John Healy
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Abstract

We present an accelerated algorithm for hierarchical density based clustering. Our new algorithm improves upon HDBSCAN*, which itself provided a significant qualitative improvement over the popular DBSCAN algorithm. The accelerated HDBSCAN* algorithm provides comparable performance to DBSCAN, while supporting variable density clusters, and eliminating the need for the difficult to tune distance scale parameter. This makes accelerated HDBSCAN* the default choice for density based clustering. Library available at: https://github.com/scikit-learn-contrib/hdbscan

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Leland McInnes, John Healy. 2017-05-20. Accelerated Hierarchical Density Clustering. https://doi.org/10.1109/icdmw.2017.12

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