Feature selection for high-dimensional multi-category data using PLS-based local recursive feature elimination
Present a feature selection framework based on local recursive feature elimination. Propose a new Partial Least Squares (PLS) based local recursive feature elimination algorithm. Obtain better performance while work effectively for high-dimensional multi-category data.
feature selection recursive feature elimination partial least squares high-dimensional multi-category problem