HDBSCAN 0.8.29-foss-2021bThe 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
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
This version of HDBSCAN is a direct dependent of: pbjam/1.0.0-foss-2021b
Last modified on 30th January 2023