perClass Documentation
version 5.1 (31-May-2017)
 SDNMEAN  Nearest mean classifier

     P=SDNMEAN(DATA)

 INPUT
    DATA    labeled data set

 OUTPUT
    P       Nearest mean pipeline (output is a similarity)

 OPTIONS
   'priors' class priors (default: use priors from the training set)
   'scaled' use scaled diagonal covariance (classifier is not sensitive
            to scaling)

 DESCRIPTION
 SDNMEAN is a nearest mean classifier implemented as a normal model with
 identity covariance matrix. SDNMEAN is therefore sensitive to scaling.
 Alternatively, with 'scaled' option, the scaled diagonal covariance is
 used making SDNMEAN scaling-insensitive.

 READ MORE
http://perclass.com/doc/guide/classifiers.html#sdnmean