SDMINDIST Minimum distance classifier P=SDMINDIST(DATA) INPUT DATA SDDATA set with distances to prototypes OUTPUT P Trained minimum distance classifier DESCRIPTION SDMINDIST is a minimum distance classifier on a data set with distances to prototypes (computed by SDPROX). Output of applying trained SDMINDIST pipeline to new distance data is a data set with soft output providing one distance per class. SEE ALSO SDPROX EXAMPLES Training Spectral Angle Mapper classifier with 50 prototypes per class: >> p=randsubset([],50)*sdprox([],'SAM')*sdmindist*sddecide >> pd=tr*p; dec=ts*pd;