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/
| version | versionsuffix | toolchain |
|---|---|---|
0.8.24 |
-Python-3.7.4 |
foss/2019b |
0.8.27 |
foss/2021a |
|
0.8.29 |
foss/2022a |
|
0.8.38.post1 |
foss/2023a |
(quick links: (all) - 0 - a - b - c - d - e - f - g - h - i - j - k - l - m - n - o - p - q - r - s - t - u - v - w - x - y - z)