Accelerated Hierarchical Density Clustering
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Abstract (arXiv)
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
Key facts. Cited by 100 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 May 2017.
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Citing papers per year: 2021: 8; 2022: 18; 2023: 26; 2024: 20; 2025: 14; 2026: 14.
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