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 bear-apps/2021b
module load HDBSCAN/0.8.29-foss-2021b
BEAR Apps Version
EL8-cascadelake — EL8-haswell — EL8-icelake
The listed architectures consist of two part: OS-CPU.
- BlueBEAR: The OS used on BlueBEAR 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.
- BEAR and CaStLeS Cloud VMs: These VMs can have one of two OSes. Those with access to a BEAR Cloud or CaStLeS VM should check that the listed architectures for an application include the OS of VM being used. The VMs, irrespective of OS, will use the haswell CPU type.
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