Discriminant component analysis via distance correlation maximization

Lida Abdi, Ali Ghodsi

Abstract: Highlights•We propose a dimensionality reduction technique based on distance correlation.•Our method maximizes the dependency between data samples and target variable.•Kernel version of our method is also derived for non-linear problems.•Our approach has a simple and closed-form solution.•Our approach is computationally efficient.