TGA

This repository contains an implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python. The implementation follows the same logic as the original Matlab implementation provided by the authors at http://ps.is.tue.mpg.de/research_projects/robust-pca

It is implemented with scikit-learn API.

Todo

Add tests

References

Hauberg, Soren, Aasa Feragen, and Michael J. Black. "Grassmann averages for scalable robust PCA." Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on. IEEE, 2014.