(H)DBSCAN
- Dominant language
- Python
- Stars
- 951
- Forks
- 262
- PR merge metrics
- No merged PRs in 30d
Description
Some interest in a parallel / distributed version of this
- https://github.com/scikit-learn-contrib/hdbscan
- http://nbviewer.jupyter.org/github/scikit-learn-contrib/hdbscan/blob/master/notebooks/How%20HDBSCAN%20Works.ipynb
- http://nbviewer.jupyter.org/github/scikit-learn-contrib/hdbscan/blob/master/notebooks/Comparing%20Clustering%20Algorithms.ipynb
Haven't looked to see if it's parallelizable.
Contributor guide
Research direction
Start by reviewing the linked scikit-learn-contrib/hdbscan project and the “How HDBSCAN Works” and “Comparing Clustering Algorithms” notebooks. Determine whether the algorithm is parallelizable and define what a parallel or distributed version would need to demonstrate; the issue does not identify implementation files or tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- distributed-systems, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100