perClass Documentation
version 5.4 (7-Dec-2018)
 SDFISHER  Fisher linear discriminant

    P=SDFISHER(DATA,options)

 INPUT
   DATA    labeled data set

 OUTPUT
   P       linear discriminant (Gaussian model per class, pooled
           covariance matrix)

 OPTIONS
   'prior' class priors (default: use priors from the training set)

 DESCRIPTION
 SDFISHER implements Fisher projection into lower-dimensional space (using
 SDLDA) followed by a linear discriminant assuming normal densities
 (SDLINEAR).

sdfisher is referenced in examples: