A new version of Fisher’s discriminant analysis (FDA) is introduced in this paper. Our algorithm searches also for a reduced space in which patterns can be discriminated. However, no intermediate class separability criterion (such as Fisher’s mean distance divided by variance) is used whatsoever. Classification performance is optimized directly. Since no statistical hypothesis are made, the met...