Research Communication | Open Access
Volume 2021 | Communication ID 225
Volume 2021 | Communication ID 225
| A feature selection approach applied to high dimensional data |
Hasna Chamlal, Tayb Ouaderhman, Basma El Mourtji
Received |
Accepted |
Published |
January 31, 2021 |
February 15, 2021 |
March 15, 2021 |
Abstract: Feature selection problem is one of the most significant issues in data classification. The purpose of feature selection is selection of the least number of features in order to increase accuracy and decrease the cost of data classification. Feature selection can be viewed as a multiobjective optimization problem, since, in the simplest case, it involves feature subset size minimization and performance maximization. In our work, we introduced approaches based on the theory of preordering that use association techniques between two heterogeneous variables and between several ones, the first ...