# wq2012/SpectralCluster

<https://repo.masters-masters.com/en/repos/wq2012/SpectralCluster>

[Home](https://repo.masters-masters.com/en) › [wq2012](https://repo.masters-masters.com/en/owners/wq2012) › [SpectralCluster](https://repo.masters-masters.com/en/repos/wq2012/SpectralCluster)

wq2012/SpectralCluster has 558 stars on GitHub. Its RepoMasters card: Alpha tier. Python re-implementation of the (constrained) spectral clustering algorithms…

| Field | Value |
| --- | --- |
| Owner | [wq2012](https://repo.masters-masters.com/en/owners/wq2012) |
| Stars | 558 |
| Forks | 75 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2019 |
| Topics | machine-learning, clustering, spectral-clustering, unsupervised-learning, speaker-diarization, unsupervised-clustering, python, constrained-clustering, auto-tune |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [wq2012/SpectralCluster](https://github.com/wq2012/SpectralCluster) |

## Repository

Python re-implementation of the (constrained) spectral clustering algorithms used in Google's speaker diarization papers.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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