Two proposals for robust PCA using semidefinite programming
Two proposals for robust PCA using semidefinite programming
The performance of principal component analysis suffers badly in the presence of outliers. This paper proposes two novel approaches for robust principal component analysis based on semidefinite programming. The first method, maximum mean absolute deviation rounding, seeks directions of large spread in the data while damping the effect of outliers. …