HDBSCAN 0.8.26-fosscuda-2020b

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 0.8.26-fosscuda-2020b

To load the module for HDBSCAN 0.8.26-fosscuda-2020b please use this command on Baskerville:

module load bask-apps/test
module load HDBSCAN/0.8.26-fosscuda-2020b

Bask Apps Env


More Information

For more information visit the HDBSCAN website.


This version of HDBSCAN has a direct dependency on: fosscuda/2020b Python/3.8.6-GCCcore-10.2.0 scikit-learn/0.23.2-fosscuda-2020b SciPy-bundle/2020.11-fosscuda-2020b

Last modified on 24th September 2021