Python implementation of Robust PCA method
This algorithm allows to decompose matrix M = L + S into L and S, where L - low-rank matrix, S - sparse matrix.
Source:
Candès, E. J., Li, X., Ma, Y., & Wright, J. (2011). Robust principal component analysis?. Journal of the ACM (JACM), 58(3), 11.