tslearn-team / tslearn-team/tslearn
Implement TimeSeriesBisectingKMeans
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 3.2k
- Forks
- 384
- Avg merge
- 3d 12h
- Merged PRs (30d)
- 11
Description
Is your feature request related to a problem? Please describe.
Classical hierarchical clustering approaches requiring a distance matrix are far too resource intense for a lot of samples. Thus scikit learn has introduced the BisectingKMeans. However, there I cant use the dtw distance metric
Describe the solution you'd like
It would be really great to more or less copy the scikit implementation following the
TimeSeriesKMeans API. PS If you are really nice you could add an easier way to access the hierarchy as scikit does.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading the scikit-learn BisectingKMeans reference and the existing TimeSeriesKMeans API. The work would need to define how DTW-based bisecting clustering fits that API and whether hierarchy access is included; the issue names no repository files or tests to run.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100