HDBScan

HDBSCAN is a high performance implementation of hierarchical density-based clustering. It performs DBSCAN over varying epsilon values and integrates results to find a clustering with the best stability over epsilon, allowing clusters of varying densities. The package inherits from sklearn classes and supports arrays, pandas dataframes, sparse matrices or distance matrices as input.

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0 shouts Added Sep 23, 2026 github.com
github.com/lmcinnes/hdbscan
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  • A high performance implementation of HDBSCAN clustering Source: github.com

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