Uncorrelated normal based quadratic Bayes classifier (BayesNormal_U)
W = UDC(A)
W = A*UDC
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.|
mappings, datasets, nmc, nmsc, ldc, qdc, quadrc, normal_map, naivebc,
|This file has been automatically generated. If badly readable, use the help-command in Matlab.|