DD_tools: nparzen_dd

NPARZEN_DD Naive Parzen data description.
 
       W = nparzen_dd(A,fracrej)
 
 Fit a Parzen density on each individual feature in dataset A and
 multiply the results for the final density estimate. This is similar
 to the Naive Bayes approach used for classification.
 The threshold is put such that fracrej of the target objects is
 rejected.
 
       W = parzen_dd(A,fracrej,h)
 
 If the width parameter is known, it can be given as third parameter,
 otherwise it is optimized using parzenml.
 
See also: parzen_dd dd_roc 



Copyright: D.M.J. Tax, D.M.J.Tax@prtools.org
Faculty EWI, Delft University of Technology
P.O. Box 5031, 2600 GA Delft, The Netherlands