New orthogonal methods revolutionize solving complex classification problems.
The article discusses different methods for analyzing data to solve problems. It introduces Fisher linear discriminant, Foley-Sammon discriminant, and other techniques. Two new methods, orthogonalized Fisher discriminant and Fisher discriminant with Schur decomposition, are presented. The researchers compare the performance of these methods in different situations.