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 bear-apps/2021b
module load HDBSCAN/0.8.29-foss-2021b

BEAR Apps Version

2021b

Architectures

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.

More Information

For more information visit the HDBSCAN website.

Dependencies

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