HDBSCAN 0.8.29-foss-2022aThe 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, BEAR Cloud VMs, and CaStLeS 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
For more information visit the HDBSCAN website.
Last modified on 15th November 2023