B. Babaki, T. Guns, and S. Nijssen, Constrained Clustering Using Column Generation, CPAIOR 2014, pp.438-454, 2014.
DOI : 10.1007/978-3-319-07046-9_31

URL : http://dial.uclouvain.be/downloader/downloader.php?pid=boreal:186710&datastream=PDF_01&disclaimer=9d5a1ed590a7644ed7c2e4765d2cb97ecb7b051735337773c2bd0bd209b5a4cb

A. Banerjee and J. Ghosh, Scalable Clustering Algorithms with Balancing Constraints, Data Mining and Knowledge Discovery, vol.13, issue.3, pp.365-395, 2006.
DOI : 10.1007/s10618-006-0040-z

S. Bouveret and M. Lema??trelema??tre, Computing leximin-optimal solutions in constraint networks, Artificial Intelligence, vol.173, issue.2, pp.343-364, 2009.
DOI : 10.1016/j.artint.2008.10.010

M. Chabert and C. Solnon, Constraint Programming for Multi-criteria Conceptual Clustering, CP 2017, pp.460-476, 2017.
DOI : 10.1007/978-3-540-30214-8_2

URL : https://hal.archives-ouvertes.fr/hal-01544239

K. M. Chong, An induction theorem for rearrangements, Journal canadien de math??matiques, vol.28, issue.1, pp.154-160, 1976.
DOI : 10.4153/CJM-1976-019-4

T. Dao, K. Duong, and C. Vrain, Constrained clustering by constraint programming, Artificial Intelligence, vol.244, pp.70-94, 2017.
DOI : 10.1016/j.artint.2015.05.006

URL : https://hal.archives-ouvertes.fr/hal-01162640

D. Dubois and P. Fortemps, Computing improved optimal solutions to max???min flexible constraint satisfaction problems, European Journal of Operational Research, vol.118, issue.1, pp.95-126, 1999.
DOI : 10.1016/S0377-2217(98)00307-5

URL : http://mathro.fpms.ac.be/~fortemps/ftp/improved_maxmin_solutions.ps.gz

D. H. Fisher, Knowledge acquisition via incremental conceptual clustering, Machine Learning, pp.139-172, 1987.
DOI : 10.4159/harvard.9780674866270

URL : https://link.springer.com/content/pdf/10.1007%2FBF00114265.pdf

B. Golden and P. Perny, Infinite order lorenz dominance for fair multiagent optimization, AAMAS, pp.383-390, 2010.
URL : https://hal.archives-ouvertes.fr/hal-01291403

M. Michael, W. Kostreva, A. Ogryczak, and . Wierzbicki, Equitable aggregations and multiple criteria analysis, EJOR, vol.158, issue.2, pp.362-377, 2004.

W. Marshall and I. Olkin, Inequalities: Theory of Majorization and its Applications, 1979.
DOI : 10.1007/978-0-387-68276-1

R. S. Michalski and R. E. Stepp, Learning from observation: Conceptual clustering, Machine Learning, pp.331-363, 1983.
DOI : 10.1007/978-3-662-12405-5_11

H. Moulin, Axioms of Cooperative Decision Making. Number 9780521360555 in Cambridge Books, 1989.

M. Mueller and S. Kramer, Integer Linear Programming Models for Constrained Clustering, DS 2010, pp.159-173, 2010.
DOI : 10.1007/978-3-540-30116-5_37

W. Ogryczak and T. Tomasz´sliwi´tomasz´sliwi´nski, On solving linear programs with the ordered weighted averaging objective, European Journal of Operational Research, vol.148, issue.1, pp.80-91, 2003.
DOI : 10.1016/S0377-2217(02)00399-5

A. Ouali, S. Loudni, Y. Lebbah, P. Boizumault, A. Zimmermann et al., Efficiently finding conceptual clustering models with integer linear programming, IJCAI 2016, pp.647-654, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01597804

A. Ouali, A. Zimmermann, S. Loudni, Y. Lebbah, B. Crémilleux et al., Integer Linear Programming for Pattern Set Mining; with an Application to Tiling, PAKDD 2017, pp.286-299, 2017.
DOI : 10.1145/1150402.1150452

URL : https://hal.archives-ouvertes.fr/hal-01597819

R. G. Pensa, C. Robardet, and J. Boulicaut, A Bi-clustering Framework for Categorical Data, PKDD 2005, pp.643-650, 2005.
DOI : 10.1007/11564126_68

URL : https://hal.archives-ouvertes.fr/hal-01535565

M. Perkowitz and O. Etzioni, Adaptive Web sites, IJCAI 99, pp.264-269, 1999.
DOI : 10.1145/345124.345171

A. K. Sen and J. E. Foster, On economic inequality, 1997.
DOI : 10.1093/0198281935.001.0001

T. Uno, T. Asai, Y. Uchida, and H. Arimura, An Efficient Algorithm for Enumerating Closed Patterns in Transaction Databases, DS 2004, pp.16-31, 2004.
DOI : 10.1007/978-3-540-30214-8_2

R. R. Yager, On ordered weighted averaging aggregation operators in multicriteria decisionmaking, IEEE Transactions on Systems, Man, and Cybernetics, vol.18, issue.1, pp.183-190, 1988.
DOI : 10.1109/21.87068

Y. Yang and B. Padmanabhan, Segmenting customer transactions using a pattern-based clustering approach, Third IEEE International Conference on Data Mining, pp.411-418, 2003.
DOI : 10.1109/ICDM.2003.1250947