G. Chandrashekar and F. Sahin, A survey on feature selection methods, Computers & Electrical Engineering, vol.40, issue.1, pp.16-28
DOI : 10.1016/j.compeleceng.2013.11.024

Q. V. Dang, Similarités dans des modèles BRep paramétriques : détection et applications, 2014.

J. H. Friedman, On bias, variance, 0/1-loss, and the curse-of-dimensionality

S. Kullback and R. A. Leibler, On Information and Sufficiency, The Annals of Mathematical Statistics, vol.22, issue.1, pp.79-86, 1951.
DOI : 10.1214/aoms/1177729694

URL : http://doi.org/10.1214/aoms/1177729694

M. Lesot, M. Rifqi, and B. Bouchon-meunier, Fuzzy Prototypes: From a Cognitive View to a Machine Learning Principle, Fuzzy Sets and Their Extensions : Representation, Aggregation and Models, pp.431-452, 2008.
DOI : 10.1007/978-3-540-73723-0_22

URL : https://hal.archives-ouvertes.fr/hal-01072732

K. Matusita, Decision Rules, Based on the Distance, for Problems of Fit, Two Samples, and Estimation, The Annals of Mathematical Statistics, vol.26, issue.4, pp.631-640, 1955.
DOI : 10.1214/aoms/1177728422

F. Meunier and C. Marsala, Classification d'objets 3D par extraction de sous-parties discriminantes, La 5` emé edition des journées " Big Data Mining and Visualization, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01464426

F. Meunier, C. Marsala, and L. Castanie, Development of a recommendation system for decision support in geosciences, MATHIAS ? TOTAL Symposium on Mathematics, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01368231

F. Meunier, C. Marsala, L. Castanié, and B. Conche, Classification d'objets 3d par extraction aléatoire de sous-parties discriminantes pour l'´ etude du sous-sol en prospectionpétrolì ere, Conf. Int. Francophone sur l'Extraction et la Gestion des Connaissances (EGC), pp.225-236, 2017.

A. Refregier, Shapelets -- I. A method for image analysis, Monthly Notices of the Royal Astronomical Society, vol.338, issue.1, p.35, 2001.
DOI : 10.1046/j.1365-8711.2003.05901.x

X. Renard, M. Rifqi, and M. Detyniecki, Random-shapelet : an algorithm for fast shapelet discovery EAST representation : fast discovery of discriminant temporal patterns from time series, IEEE Int. Conf. on Data Science and Advanced Analytics ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data, pp.1-10, 2015.

M. Rifqi, Mesures de comparaison, typicalite et classification d'objets flous : théorie et pratique, 1996.

M. Rifqi, Mesures de similarité, raisonnement et modélisation de l'utilisateur, 2010.

J. Sun, M. Ovsjanikov, and L. Guibas, A concise and provably informative multiscale signature based on heat diffusion, Symposium on Geometry Processing, SGP'09, pp.1383-1392, 2009.
DOI : 10.1111/j.1467-8659.2009.01515.x

URL : http://www.cs.jhu.edu/~misha/ReadingSeminar/Papers/Sun09.pdf

H. Tabia, Contributions to 3D-shape matching retrieval and classification, 2011.
URL : https://hal.archives-ouvertes.fr/tel-00818224

L. Ye and E. Keogh, Time series shapelets, Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '09, pp.947-956, 2009.
DOI : 10.1145/1557019.1557122