Package profile
hdbscan
- Summary: Clustering based on density with variable density clusters
- Author: Leland McInnes <leland.mcinnes@gmail.com>
- License: BSD
- Homepage: http://github.com/scikit-learn-contrib/hdbscan
- Number of releases: 61
- First release: 0.1 on 2015-10-10
- Latest release: 0.8.44 on 2026-06-01
- Latest release size: 2.5 MB (wheel)
Dependencies
Hdbscan has 4 dependencies, 0 of which optional.Dependent packages
| Package | Optional | Group |
|---|---|---|
| cuml-cu12 | true | test |
| cuml-cu13 | true | test |
| interpret-community | true | sample |
| modelscope | true | audio-signal |
Similar packages
- faiss-gpuA library for efficient similarity search and clustering of dense vectors.
- faiss-cpuA library for efficient similarity search and clustering of dense vectors.
- kmodesPython implementations of the k-modes and k-prototypes clustering algorithms for clustering categorical data.
- apache-sedonaApache Sedona is a cluster computing system for processing large-scale spatial data
- python-louvainLouvain algorithm for community detection
- pybloom-liveBloom filter: A Probabilistic data structure
- seabornStatistical data visualization