This package provides an Python implementation of the ElPiGraph algorithm. A self-contained description of the algorithm is available here or on this arXiv paper
A R implementation of this algorithm is also available, coded by Luca Albergante
A native MATLAB implementation of the algorithm (coded by Andrei Zinovyev and Evgeny Mirkes) is also available
When using this package, please cite our preprint:
Albergante, L. et al . Robust and Scalable Learning of Data Manifold with Complex Topologies via ElPiGraph. arXiv: 1804.07580 (2018)
This code was tested with Python 3.6, the following packages are needed:
- numpy
- matplotlib
- scipy
- pip
To install that package, clone this git, open a terminal on the root of the git folder and type:
pip install .Or, without cloning, simply run the following command
pip install git+https://github.com/LouisFaure/ElPiGraph.P.gitHere is a notebook showing cases of basic usage