UDC

Uncorrelated normal based quadratic Bayes classifier (BayesNormal_U)

   W = UDC(A)
   W = A*UDC

Input
A	input dataset

Output
W	output mapping

Description

Computation a quadratic classifier between the classes in the  dataset A assuming normal densities with uncorrelated features.  This is similar to NAIVEBC assuming normal distributions for the  features.

The	use of probabilistic labels is supported. The classification A*W is
computed	by normal_map.

Example(s)

 PREX_DENSITY

See also

mappings, datasets, nmc, nmsc, ldc, qdc, quadrc, normal_map, naivebc,