wq2012 / SpectralCluster
Python re-implementation of the (constrained) spectral clustering algorithms used in Google's speaker diarization papers.
Why this job: works in the areas we cover, but does not say which job it does
What it does
- Unnormalized Laplacian. L = D - W
- Graph cut Laplacian. L' = D^{-1/2} * L * D^{-1/2}
- Random walk Laplacian. L' = D^{-1} * L
- Affinity integration.
Get started
pip3 install spectralcluster- Maintenance
- Active
- Last commit 15 days ago
- Stars
- 559
- +1 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.2.4
- Released 5 years ago
- Built with
- Python
- 99% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 98% closed
- 1 still open
- Pull requests
- 5 merged
- 0 waiting
- Releases
- 4
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 99%
- Shell 1%
Topics
- machine-learning
- clustering
- spectral-clustering
- unsupervised-learning
- speaker-diarization
- unsupervised-clustering
- python
- constrained-clustering
- auto-tune
Project record
- JobOther AI tools
- StatusListed
- Commits189
- Forks75
- Watching17
- Stars in 28 days+2
- CreatedJan 18, 2019
- First seen by usNov 7, 2026
- CheckedNov 8, 2026