HDBSCAN 0.8.29-foss-2022a

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-2022a

To load the module for HDBSCAN 0.8.29-foss-2022a please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load bear-apps/2022a
module load HDBSCAN/0.8.29-foss-2022a

BEAR Apps Version




The listed architectures consist of two part: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.


  • HDBSCAN 0.8.29

More Information

For more information visit the HDBSCAN website.


This version of HDBSCAN has a direct dependency on: foss/2022a Python/3.10.4-GCCcore-11.3.0 scikit-learn/1.1.2-foss-2022a SciPy-bundle/2022.05-foss-2022a

Required By

This version of HDBSCAN is a direct dependent of: mandrake/1.2.2-foss-2022a poppunk/2.6.1-foss-2022a

Other Versions

These versions of HDBSCAN are available on the BEAR systems (BlueBEAR and BEAR Cloud VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Version BEAR Apps Version
0.8.29-foss-2021b 2021b

Last modified on 15th November 2023