HDBSCAN 0.8.29-foss-2021b

The hdbscan library is a suite of tools to use unsupervised learning to find clusters, or dense regions, of a dataset. The primary algorithm is HDBSCAN* as proposed by Campello, Moulavi, and Sander. The library provides a high performance implementation of this algorithm, along with tools for analysing the resulting clustering.

Accessing HDBSCAN 0.8.29-foss-2021b

To load the module for HDBSCAN 0.8.29-foss-2021b please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):

module load HDBSCAN/0.8.29-foss-2021b

BEAR Apps Version


More Information

For more information visit the HDBSCAN website.


This version of HDBSCAN has a direct dependency on: foss/2021b Python/3.9.6-GCCcore-11.2.0 scikit-learn/1.0.1-foss-2021b SciPy-bundle/2021.10-foss-2021b

Required By

This version of HDBSCAN is a direct dependent of: pbjam/1.0.0-foss-2021b

Last modified on 30th January 2023