Published March 19, 2020
| Version 0.8.26
Software
Open
scikit-learn-contrib/hdbscan: 0.8.26
Creators
- Leland McInnes1
- Steve Astels2
- Guillaume Lemaitre3
- John Healy1
- Graham Clendenning
- Bruno Alano4
- Lukas Großberger
- Ryan Helinski
- Nathaniel Saul5
- cmalzer
- areeh
- Adam Lugowski6
- Mark Dimitsas
- K.-Michael Aye7
- Pierre Tholoniat8
- Niklas Berliner
- Namit Chaturvedi9
- Mikhail Korobov10
- Matthew Dunn11
- Marek Šuppa
- Keita Watanabe12
- Han Guo
- Hamid Zare
- Dayvid Victor
- Daniel S. Katz13
- Craig McNamara
- Christopher Jenness
- Coleman Krawczyk
- Anne-Sylvie Deutsch14
- Allan L. R. Hansen
- 1. Tutte Institute for Mathematics and Computing
- 2. @cds-snc
- 3. Scikit-learn @ Inria foundation
- 4. @neurologicai @monoscopeio
- 5. @scikit-tda, @newrelic
- 6. Turn
- 7. LASP
- 8. École polytechnique
- 9. LinkedIn
- 10. @ScrapingHub
- 11. liveperson
- 12. Ascent Robotics, Inc.
- 13. UIUC
- 14. @reinfer
Description
A high performance implementation of HDBSCAN clustering.
Files
scikit-learn-contrib/hdbscan-0.8.26.zip
Files
(10.8 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:09e767ff6aa79e9da88eef9f20eb637f
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10.8 MB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/scikit-learn-contrib/hdbscan/tree/0.8.26 (URL)