It replicates the R implementation, coded by Luca Albergante and should return exactly the same results. Please open an issue if you do notice different output. Differences between the two versions are detailed in differences.md. This package extends initial work by Louis Faure and Alexis Martin.
When using this package, please cite our paper:
Albergante, L. et al . Robust and Scalable Learning of Complex Intrinsic Dataset Geometry via ElPiGraph (2020)
This code was tested with Python 3.7.1, and requires the following packages:
In addition, to enable gpu support:
The requirements.txt file provides the versions this package has been tested with
git clone https://github.com/j-bac/elpigraph-python.git cd elpigraph pip install .
pip install git+https://github.com/j-bac/elpigraph-python.git