SDLDA Linear Discriminant Analysis (Fisher projection) P=SDLDA(DATA,options) INPUT DATA labeled data set OUTPUT P linear projection OPTIONS 'prior' class priors (default: use priors from the training set) PARAMETERS 'weights' relative input feature importance in the projection DESCRIPTION SDLDA implements linear discriminant analysis (also known as Fisher projection). READ MORE http://perclass.com/doc/guide/dimensionality_reduction.html#sdlda SEE ALSO SDPCA
sdlda
is referenced in examples: