title: Fisher discriminant analysis and factor analysis.
abstract: We show that information on the inherent structure of multidimensional data derived from a factor analysis procedure is equivalent to information obtained by Fisher discriminant analysis techniques, provided certain conditions, usually required in the factor analysis model, are satisfied. The results advocate the use of a factor analysis approach when Fisher discriminant analysis is not applicable, such as, for instance, in clustering problems.
authors.affiliation: Ben-Gurion University of the Negev, Beer-Sheva, Israel; Istituto di Matematica, Universita di Udine, 33100 Udine, Italy.
authors.forename: G D
authors.initials: GD
authors.lastname: Riccia
authors.forename: A
authors.initials: A
authors.lastname: Shapiro