Compressive Regularized Discriminant Analysis of High-Dimensional Data with Applications to Microarray Studies
We propose a modification of linear discriminant analysis, referred to as compressive regularized discriminant analysis (CRDA), for analysis of high-dimensional datasets. CRDA is especially designed for feature elimination purpose and can be used as gene selection method in microarray studies. CRDA…