https://github.com/loiccoyle/rpca

Robust PCA using Accelerating Alternating Projections in python
https://github.com/loiccoyle/rpca

accaltproj-algorithm background-subtraction pca python robust-pca rpca sklearn

Last synced: about 2 months ago
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Robust PCA using Accelerating Alternating Projections in python

• Host: GitHub
• URL: https://github.com/loiccoyle/rpca
• Owner: loiccoyle
• License: mit
• Created: 2020-03-05T12:07:10.000Z (almost 5 years ago)
• Default Branch: main
• Last Pushed: 2024-09-03T13:27:05.000Z (4 months ago)
• Last Synced: 2024-10-29T03:08:28.682Z (2 months ago)
• Topics: accaltproj-algorithm, background-subtraction, pca, python, robust-pca, rpca, sklearn
• Language: Python
• Homepage:
• Size: 5.45 MB
• Stars: 8
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# AccAltProj for robust PCA



  

  

  

  



> Port of the AccAltProj algorithm for robust PCA to python.



  



This is a python port of the [AccAltProj algorithm for robust PCA](https://github.com/caesarcai/AccAltProj_for_RPCA), described in this [paper](https://arxiv.org/abs/1711.05519).

This implementation follows `sklearn`'s `fit` & `transform` API.

## 📦 Installation

Requires python 3

In a terminal:

```sh

pip install rpca

```

As always, it is usually a good idea to use a [virtual environment](https://docs.python.org/3/library/venv.html).