# FurongHuang/spectrallda-tensorspark

<https://repo.masters-masters.com/en/repos/FurongHuang/spectrallda-tensorspark>

[Home](https://repo.masters-masters.com/en) › [FurongHuang](https://repo.masters-masters.com/en/owners/FurongHuang) › [spectrallda-tensorspark](https://repo.masters-masters.com/en/repos/FurongHuang/spectrallda-tensorspark)

FurongHuang/spectrallda-tensorspark has 104 stars on GitHub. Its RepoMasters card: Prototype tier. Quick summary: This code implements a spectral (third order…

| Field | Value |
| --- | --- |
| Owner | [FurongHuang](https://repo.masters-masters.com/en/owners/FurongHuang) |
| Stars | 104 |
| Forks | 22 |
| Language | [Scala](https://repo.masters-masters.com/en/languages/scala) |
| License | Apache-2.0 |
| Created | 2015 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [FurongHuang/spectrallda-tensorspark](https://github.com/FurongHuang/spectrallda-tensorspark) |

## Repository

Quick summary: This code implements a spectral (third order tensor decomposition) learning method for learning LDA topic model on Spark.

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.