R. Agrawal, J. Gehrke, D. Gunopulos, and P. Raghavan, Automatic subspace clustering of high dimensional data for data mining applications, Proc. of the ACM SIGMOD Int. Conf. on Management of Data, pp.94-105, 1998.

F. Bach, R. Jenatton, J. Mairal, and G. Obozinski, Convex optimization with sparsity-inducing norms. Optimization for Machine Learning pp, pp.19-53, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00937150

J. C. Bezdek, Pattern Recognition with Fuzzy Objective Function Algorithms, 1981.
DOI : 10.1007/978-1-4757-0450-1

C. Borgelt, Fuzzy Subspace Clustering, Studies in Classification, Data Analysis , and Knowledge Organization, pp.93-103, 2010.
DOI : 10.1007/978-3-642-01044-6_8

P. L. Combettes and J. C. Pesquet, Proximal Splitting Methods in Signal Processing, pp.185-212, 2011.
DOI : 10.1007/978-1-4419-9569-8_10
URL : https://hal.archives-ouvertes.fr/hal-00643807

A. Keller and F. Klawonn, FUZZY CLUSTERING WITH WEIGHTING OF DATA VARIABLES, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol.08, issue.06, pp.735-746, 2000.
DOI : 10.1142/S0218488500000538

F. Klawonn and F. Höppner, What Is Fuzzy about Fuzzy Clustering? Understanding and Improving the Concept of the Fuzzifier, Advances in Intelligent Data Analysis V, pp.254-264, 2003.
DOI : 10.1007/978-3-540-45231-7_24

J. J. Moreau, Fonctions convexes duales et points proximaux dans un espace hilbertien, CR Acad. Sci. Paris Sér. A Math, vol.255, pp.2897-2899, 1962.

N. Parikh and S. Boyd, Proximal Algorithms, Foundations and Trends?? in Optimization, vol.1, issue.3, pp.123-231, 2013.
DOI : 10.1561/2400000003

X. Qiu, Y. Qiu, G. Feng, and P. Li, A sparse fuzzy c-means algorithm based on sparse clustering framework, Neurocomputing, vol.157, pp.290-295, 2015.
DOI : 10.1016/j.neucom.2015.01.003

R. Tibshirani, Regression shrinkage and selection via the lasso, Journal of the Royal Statistical Society. Series B, pp.267-288, 1996.

R. Vidal, Subspace Clustering, IEEE Signal Processing Magazine, vol.28, issue.2, pp.52-68, 2010.
DOI : 10.1109/MSP.2010.939739

D. Wang, C. Ding, and T. Li, K-Subspace Clustering, Machine learning and knowledge discovery in databases, pp.506-521, 2009.
DOI : 10.1007/978-3-642-04174-7_33

D. M. Witten and R. Tibshirani, A Framework for Feature Selection in Clustering, Journal of the American Statistical Association, vol.105, issue.490, pp.713-726, 2010.
DOI : 10.1198/jasa.2010.tm09415