Robust classification with feature selection using an application of the Douglas-Rachford splitting algorithm
This paper deals with supervised classification and feature selection with application in the context of high dimensional features. A classical approach leads to an optimization problem minimizing the within sum of squares in the clusters (I2 norm) with an I1 penalty in order to promote sparsity. It...
Main Authors: | Barlaud Michel, Antonini Marc |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2021-08-01
|
Series: | ESAIM: Proceedings and Surveys |
Online Access: | https://www.esaim-proc.org/articles/proc/pdf/2021/02/proc2107102.pdf |
Similar Items
-
A parameterized Douglas-Rachford algorithm : theory and applications
by: Wang, Dongying
Published: (2017) -
Eventual linear convergence of the Douglas-Rachford iteration for basis pursuit
by: Demanet, Laurent, et al.
Published: (2017) -
Local and Global Analysis of Relaxed Douglas-Rachford for Nonconvex Feasibility Problems
by: Martins, Anna-Lena
Published: (2019) -
The Douglas–Rachford operator in the possibly inconsistent case : static properties and dynamic behaviour
by: Moursi, Walaa M.
Published: (2017) -
Strictly contractive Peaceman–Rachford splitting method to recover the corrupted low rank matrix
by: Zheng-Fen Jin, et al.
Published: (2019-05-01)