G. Abraham and M. Inouye, Fast principal component analysis of large-scale genome-wide data, PLoS ONE, vol.9, issue.4, p.93766, 2014.

C. G. Broyden, The convergence of a class of double-rank minimization algorithms 1. General considerations', Journal of the Institute of Mathematics and its Applications, vol.6, issue.1, pp.76-90, 1970.

Y. Erlich, A vision for ubiquitous sequencing, Genome Research, vol.25, issue.10, pp.1411-1416, 2015.

R. Fletcher, A new approach to variable metric algorithms, Computer Journal, vol.204, issue.3, pp.317-322, 1970.

D. M. Gay, Usage summary for selected optimization routines, 1990.

D. Goldfarb, A family of variable metric updates derived by variational means, 210 Mathematics of Computation, vol.24, pp.23-26, 1970.

N. Halko, P. G. Martinsson, and J. A. Tropp, Finding structure with randomness: probabilistic algorithms for constructing approximate matrix decompositions, vol.53, pp.217-288, 2011.

M. C. Hansen, S. V. Stehman, P. V. Potapov, T. R. Loveland, J. R. Townshend et al., , p.216

M. Dimiceli and C. , Humid tropical forest clearing from 2000 to 2005 quantified by using multitemporal and multiresolution remotely sensed data, Proceedings of the National Academy of Sciences USA, vol.105, issue.27, pp.9439-9444, 2008.

J. B. Kruskal, Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis, Psychometrika, vol.29, issue.1, pp.1-27, 1964.

. R-core-team, R: A Language and Environment for Statistical Computing, R Foun-222 dation for Statistical Computing, 2017.

J. Sammon and J. W. , A nonlinear mapping for data structure analysis, IEEE Trans-225 actions on Computers C, vol.18, issue.5, pp.401-409, 1969.

D. F. Shanno, Conditioning of quasi-Newton methods for function minimization, Mathematics of Computation, vol.24, pp.647-656, 1970.