HDBSCAN¶
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.
homepage: http://hdbscan.readthedocs.io/en/latest/
Available installations¶
| HDBSCAN version | Supported CPU targets | Supported GPU targets | EESSI version | Module |
|---|---|---|---|---|
| 0.8.38.post1 | generic: aarch64, x86_64Arm: a64fx, neoverse_n1, neoverse_v1, nvidia/graceAMD: zen2, zen3, zen4Intel: haswell, skylake_avx512, sapphirerapids, icelake, cascadelake |
(none) | 2023.06 | HDBSCAN/0.8.38.post1-foss-2023a |