G. Shafer, A Mathematical Theory of Evidence, 1976.

F. Smarandache and J. Dezert, Advances and Applications of DSmT for Information Fusion, 2004.
URL : https://hal.archives-ouvertes.fr/hal-01080187

P. Smets and R. Kennes, The transferable belief model, Artificial Intelligence, vol.66, issue.2, pp.191-243, 1994.
DOI : 10.1016/0004-3702(94)90026-4
URL : https://hal.archives-ouvertes.fr/hal-01185821

J. Dezert, Z. Liu, and G. Mercier, Edge Detection in Color Images Based on DSmT, Proceedings of International Conference on Information Fusion, 2011.
URL : https://hal.archives-ouvertes.fr/hal-01219500

P. Dore, A. Fiche, and A. Martin, Models of belief functions — Impacts for patterns recognitions, 2010 13th International Conference on Information Fusion, 2010.
DOI : 10.1109/ICIF.2010.5711936

Z. Liu, J. Dezert, G. Mercier, Q. Pan, and Y. Cheng, Change detection from remote sensing images based on evidential reasoning, Proceedings of International Conference on Information Fusion, 2011.

Z. Liu, J. Dezert, Q. Pan, and G. Mercier, Combination of sources of evidence with different discounting factors based on a new dissimilarity measure, Decision Support Systems, vol.52, issue.1, pp.133-141, 2011.
DOI : 10.1016/j.dss.2011.06.002

J. C. Bezdek, Pattern Recognition with fuzzy objective function algorithms, 1981.
DOI : 10.1007/978-1-4757-0450-1

M. Masson and T. Denoeux, ECM: An evidential version of the fuzzy c-means algorithm, Pattern Recognition, vol.41, issue.4, pp.1384-1397, 2008.
DOI : 10.1016/j.patcog.2007.08.014

T. Denoeux and M. Masson, EVCLUS: Evidential Clustering of Proximity Data, IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol.34, issue.1, pp.95-109, 2004.
DOI : 10.1109/TSMCB.2002.806496

K. Kurihara and M. Welling, -Means as a ???Maximization-Expectation??? Algorithm, Neural Computation, vol.27, issue.4, pp.1145-1172, 2009.
DOI : 10.1145/233269.233324
URL : https://hal.archives-ouvertes.fr/in2p3-01011976

Z. Liu, J. Dezert, G. Mercier, and Q. Pan, Belief C-Means: An extension of Fuzzy C-Means algorithm in belief functions framework, Pattern Recognition Letters, vol.33, issue.3, pp.291-300, 2012.
DOI : 10.1016/j.patrec.2011.10.011
URL : https://hal.archives-ouvertes.fr/hal-01058024

R. A. Fisher, THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS, Annals of Eugenics, vol.59, issue.2, pp.179-188, 1936.
DOI : 10.1111/j.1469-1809.1936.tb02137.x