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: 20 days 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 (about 5 years ago)
- Default Branch: main
- Last Pushed: 2024-11-22T22:58:06.000Z (6 months ago)
- Last Synced: 2025-04-05T13:51:24.666Z (about 1 month ago)
- Topics: accaltproj-algorithm, background-subtraction, pca, python, robust-pca, rpca, sklearn
- Language: Python
- Homepage:
- Size: 5.47 MB
- Stars: 8
- Watchers: 1
- Forks: 2
- 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).