Fisher Discriminant Analysis and Factor Analysis
Giacomo Della Riccia, Alexander Shapiro · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1983
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.