# tango4j/Auto-Tuning-Spectral-Clustering

<https://repo.masters-masters.com/en/repos/tango4j/Auto-Tuning-Spectral-Clustering>

[Home](https://repo.masters-masters.com/en) › [tango4j](https://repo.masters-masters.com/en/owners/tango4j) › [Auto-Tuning-Spectral-Clustering](https://repo.masters-masters.com/en/repos/tango4j/Auto-Tuning-Spectral-Clustering)

tango4j/Auto-Tuning-Spectral-Clustering has 126 stars on GitHub. Its RepoMasters card: Prototype tier. This repo is for the SPL paper "Auto-Tuning Spectral…

| Field | Value |
| --- | --- |
| Owner | [tango4j](https://repo.masters-masters.com/en/owners/tango4j) |
| Stars | 126 |
| Forks | 15 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [tango4j/Auto-Tuning-Spectral-Clustering](https://github.com/tango4j/Auto-Tuning-Spectral-Clustering) |

## Repository

This repo is for the SPL paper "Auto-Tuning Spectral Clustering for Speaker Diarization Using Normalized Maximum Eigengap"

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
