SDQUADRATIC  quadratic discriminant assuming normal densities

    P=SDQUADRATIC(DATA,options)

 INPUT
   DATA    Labeled dataset

 OUTPUT
   P       Quadratic discriminant (Gaussian model per class)

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

 DESCRIPTION
 SDQUADRATIC implements quadratic discriminant assuming Gaussian
 distributions. For each class a Gaussian model is estimated with full
 covariance matrix.

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

 SEE ALSO
 SDLINEAR, SDMIXTURE, SDNMEAN

sdquadratic is referenced in examples:

• kb12: Detector classifier cascade with ROC analysis
• kb5: ROC analysis on two-class problems: choosing an operating point