Modifications of most expressive feature reordering criteria for supervised kernel Principal Component Analysis
The following paper proposes a set of novel feature selection criteria that can be applied to kernel Principal Component Analysis (kPCA) outcome to derive discriminative feature spaces for complex classification…




