L. Kantorovic, On the translocation of masses, C.R. Acad. Sci. URSS, 1942.

L. Maaten and G. Hinton, Visualizing highdimensional data using t-sne, Journal of Machine Learning Research, vol.9, pp.2579-2605, 2008.

F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion et al., Scikit-learn: Machine learning in Python, Journal of Machine Learning Research, vol.12, pp.2825-2830, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00650905

G. Peyré and M. Cuturi, Computational Optimal Transport, 2018.

H. Saigo, . Jean-philippe, . Vert, N. Ueda, and T. Akutsu, Protein homology detection using string alignment kernels, Bioinformatics, vol.20, issue.11, pp.1682-1689, 2004.
URL : https://hal.archives-ouvertes.fr/hal-00433587

H. Sakoe and S. Chiba, Dynamic programming algorithm optimization for spoken word recognition, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.26, issue.1, pp.43-49, 1978.

S. Sokol, Abnormal evoked potential latencies in amblyopia, The British journal of ophthalmology, vol.67, issue.5, pp.310-314, 1983.

J. Solomon, F. De-goes, G. Peyré, M. Cuturi, A. Butscher et al., Convolutional Wasserstein distances: Efficient optimal transportation on geometric domains, ACM Trans. Graph, vol.34, issue.4, p.11, 2015.

R. P. Stanley, Enumerative Combinatorics, vol.1, 2011.

R. A. Sulanke, Objects counted by the central delannoy numbers, Journal of Integer Sequences, 2003.

N. Y. Taxi and L. Commission, New york city taxi trip data, 2009.

M. Thorpe, S. Park, S. Kolouri, G. K. Rohde, and D. Slep?ev, A transportation l(p) distance for signal analysis, Journal of mathematical imaging and vision, vol.59, issue.2, pp.187-210, 2017.

R. Whelan, R. Lonergan, H. Kiiski, H. Nolan, K. Kinsella et al., A highdensity erp study reveals latency, amplitude, and topographical differences in multiple sclerosis patients versus controls, Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, vol.121, pp.1420-1426, 2010.

B. Williams, M. Toussaint, and A. Storkey, Extracting motion primitives from natural handwriting data, ICANN, vol.2, pp.634-643, 2006.