# scikit-learn-contrib/hdbscan

<https://repo.masters-masters.com/en/repos/scikit-learn-contrib/hdbscan>

[Home](https://repo.masters-masters.com/en) › [scikit-learn-contrib](https://repo.masters-masters.com/en/owners/scikit-learn-contrib) › [hdbscan](https://repo.masters-masters.com/en/repos/scikit-learn-contrib/hdbscan)

scikit-learn-contrib/hdbscan has 3,157 stars on GitHub. Its RepoMasters card: RC tier. A high performance implementation of HDBSCAN clustering.

| Field | Value |
| --- | --- |
| Owner | [scikit-learn-contrib](https://repo.masters-masters.com/en/owners/scikit-learn-contrib) |
| Stars | 3,157 |
| Forks | 547 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | BSD-3-Clause |
| Created | 2015 |
| Topics | machine-learning, machine-learning-algorithms, clustering, clustering-algorithm, cluster-analysis, clustering-evaluation |
| Tier | [RC (2,000 to 4,999 ★)](https://repo.masters-masters.com/en/ranks/blockbuster) |
| View on GitHub | [scikit-learn-contrib/hdbscan](https://github.com/scikit-learn-contrib/hdbscan) |

## Repository

A high performance implementation of HDBSCAN clustering.

The tier for repos with 2,000 to 4,999 ★. Published odds per card pulled: 3%. Rarity: Epic.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.