Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications ,
Convex optimization with sparsity-inducing norms, In Optimization for Machine Learning, pp.19-53, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00937150
Pattern Recognition with Fuzzy Objective Function Algorithms, 1981. ,
DOI : 10.1007/978-1-4757-0450-1
Fuzzy subspace clustering In Advances in Data Analysis, Data Handling and Business Intelligence. Studies in Classification , Data Analysis, and Knowledge Organization, pp.93-103, 2010. ,
Proximal Splitting Methods in Signal Processing In Fixed-Point Algorithms for Inverse Problems in Science and Engineering, pp.185-212, 2011. ,
FUZZY CLUSTERING WITH WEIGHTING OF DATA VARIABLES, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol.08, issue.06, pp.6-735, 2000. ,
DOI : 10.1142/S0218488500000538
Fonctions convexes duales et points proximaux dans un espace hilbertien, CR Acad ,
Proximal Algorithms, Foundations and Trends?? in Optimization, vol.1, issue.3, pp.127-239, 2014. ,
DOI : 10.1561/2400000003
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
Regression shrinkage and selection via the lasso, In Journal of the Royal Statistical Society. Series B (Methodological), vol.581, pp.267-288, 1996. ,
A tutorial on subspace clustering, IEEE Signal Processing Magazine 28, pp.52-68, 2010. ,
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