perClass Documentation
development version 3.1.2 (22-Dec-2011)
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 SDP_PARZEN  (Low-level) Parzen density estimator or classifier

   PP=SDP_PARZEN(KERNEL,H,PROTO)
   PP=SDP_PARZEN(KERNEL,H,PROTO,PRIORS)

 INPUT
  KERNEL   type of kernel ('Gauss','Laplace')
  H        smoothing parameter
  PROTO    SDDATA or matrix with prototype samples
  PRIORS   (optional) class priors

 OUTPUT
  PP       pipeline object

 DESCRIPTION
 SDP_PARZEN implements density estimator or a classifier with
 class-conditional output (if PROTO data set contains multiple classes)

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

 SEE ALSO
 SDPARZEN