Recursive optimization of an extended Fisher discriminant criterion

A method for recursive optimization of an extended Fisher (ExF) discriminant criterion is proposed. The method consists of obtaining a discriminant direction which optimizes the ExF criterion, transforming the data along it into data with greater class overlap, and iterating to obtain the next discriminant direction. An application to a medical dataset indicates the potential of the proposed method for finding a sequence of oblique directions with significant class separation.