SDGAUSS  Gaussian model

    P=SDGAUSS(DATA,options)

 INPUT
   DATA    Data set

 OUTPUT
   P       Gaussian model

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

 DESCRIPTION
 SDGAUSS trains a Gaussian model from data. Mean, full covariance and
 priors are estimated for each class.

sdgauss is referenced in examples:

• kb18: How to protect a trained discriminant against outliers?
• kb17: How to optimize three-class classifier in imbalanced problems
• kb13: How to find samples with a specific type of error in a confusion matrix?
• kb12: Detector classifier cascade with ROC analysis
• kb11: Hierarchical classifier: How to build detector-classifier cascade?
• kb8: How to build a detector in a single line of code?