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: