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DC approximation approaches for sparse optimization., , , and . CoRR, (2014)Modélisation et optimisation non convexe basées sur la programmation DC et DCA pour la résolution de certaines classes des problèmes en fouille de données et cryptologie. (The non-convex modeling and optimization based on the DC programming and DCA for the resolution of certain classes of problems in Data Mining and cryptology).. University of Metz, France, (2007)Binary classification via spherical separator by DC programming and DCA., , , and . J. Glob. Optim., 56 (4): 1393-1407 (2013)Block Clustering Based on Difference of Convex Functions (DC) Programming and DC Algorithms., , , and . Neural Comput., 25 (10): 2776-2807 (2013)Fuzzy clustering based on nonconvex optimisation approaches using difference of convex (DC) functions algorithms., , and . Adv. Data Anal. Classif., 1 (2): 85-104 (2007)Sparse semi-supervised support vector machines by DC programming and DCA., , and . Neurocomputing, (2015)A DCA Based Algorithm for Feature Selection in Model-Based Clustering., , and . ACIIDS (1), volume 12033 of Lecture Notes in Computer Science, page 404-415. Springer, (2020)Stochastic DCA for Sparse Multiclass Logistic Regression., , , and . ICCSAMA, volume 629 of Advances in Intelligent Systems and Computing, page 1-12. Springer, (2017)Noisy Image Segmentation by a Robust Clustering Algorithm Based on DC Programming and DCA., , , and . ICDM, volume 5077 of Lecture Notes in Computer Science, page 72-86. Springer, (2008)Stochastic DCA for minimizing a large sum of DC functions with application to Multi-class Logistic Regression., , , and . CoRR, (2019)