I. T. Jolliffe, Principal Component Analysis, 2002.

N. Kwak, Principal component analysis based on L1-norm maximization, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, pp.1672-1680, 2008.

P. P. Markopoulos, G. N. Karystinos, and D. A. Pados, Optimal algorithms for L1-subspace signal processing, IEEE Transactions on Signal Processing, vol.62, pp.5046-5058, 2014.

P. P. Markopoulos, S. Kundu, S. Chamadia, and D. A. Pados, Efficient L1-norm principal-component analysis via bit flipping, IEEE Transactions on Signal Processing, vol.65, pp.4252-4264, 2017.

R. Martín-clemente and V. Zarzoso, On the link between L1-PCA and ICA, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.39, pp.515-528, 2017.

M. Turk and A. Pentland, Eigenfaces for recognition, Journal of Cognitive Neuroscience, vol.3, pp.71-86, 1991.

A. M. Martinez and A. C. Kak, PCA versus LDA, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, pp.228-223, 2001.

K. Allemand, K. Fukuda, T. M. Liebling, and E. Steiner, A polynomial case of unconstrained zero-one quadratic optimization, Mathematical Programming, Series B, vol.A, pp.49-52, 2001.

W. Ben-ameur and J. Neto, A polynomial-time recursive algorithm for some unconstrained quadratic optimization problems, Discrete Applied Mathematics, vol.159, pp.1689-1698, 2011.
URL : https://hal.archives-ouvertes.fr/hal-01368385

J. A. Ferrez, K. Fukuda, and T. M. Liebling, Solving the fixed rank convex quadratic maximization in binary variables by a parallel zonotope construction algorithm, European Journal of Operational Research, vol.166, pp.35-50, 2005.

G. N. Karystinos and A. P. Liavas, Efficient computation of the binary vector that maximizes a rank-deficient quadratic form, IEEE Transactions on Information Theory, vol.56, pp.3581-3593, 2010.

R. A. Fisher, The use of multiple measures in taxonomic problems, Annals of Eugenics, vol.7, issue.2, pp.179-186, 1936.

C. M. Bishop, Pattern Recognition and Machine Learning, 2006.