1. I. Jolliffe, Principal component analysis, in: International encyclopedia of statistical science, Springer, 2011, pp. 1094–1096.
2. P.N. Belhumeur, J.P. Hespanha, D.J. Kriegman, Eigenfaces vs. Fisherfaces: recognition using class specific linear projection, IEEE Trans. Pattern Anal. Mach. Intell. 19 (7) (1997) 711–720. doi:10.1109/34.598228.
3. PCA versus LDA;Martinez;IEEE Trans. Pattern Anal. Mach. Intell.,2001
4. Q. Ke, T. Kanade, Robust ℓ1 norm factorization in the presence of outliers and missing data by alternative convex programming, in: Proc. CVPR, 2005, pp. 739–746.
5. C. Ding, D. Zhou, X. He, H. Zha, R1-PCA: Rotational invariant ℓ1-norm principal component analysis for robust subspace factorization, in: Proc. Int. Conf. Mach. Learn., 2006, pp. 281–288.