Title :
A Significant Plane for Two-Class Discrimination Problems
Author_Institution :
Department of Biomedical Engineering, Compiegne University, BP 233, 60206 Compiegne Cedex, France.
fDate :
7/1/1986 12:00:00 AM
Abstract :
In solving classification problems, the Fisher linear discriminant is often used for discriminating between two pattern classes. In addition to this discriminant direction, this correspondence proposes the use of a second direction, orthogonal to the first, which maximizes the projected scatter. An example is provided to illustrate the method.
Keywords :
Biomedical engineering; Covariance matrix; Data analysis; Eigenvalues and eigenfunctions; Information analysis; Lagrangian functions; Pattern recognition; Principal component analysis; Scattering; Vectors; Discriminants; multivariate data projection; pattern recognition;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.1986.4767823