| PRTools contents |
NORMAL_MAP
F = NORMAL_MAP(A,W)
| Input | |
| A | Dataset |
| W | Mapping |
| Output | |
| F | Density estimation for classes in A |
Maps the dataset A by the normal density based classifier or mapping W. For each object in A, F returns the densities for each of the classes or distributions stored in W. For classifiers, the densities are weighted by the class prior probabilities. This routine is automatically called for computing A*W if W is a normal density based classifier or a mapping.
Use W = LOGDENS(W) (or W = W*LOGDENS) if absolute densities are not needed and a more accurate posterior probability is desired.
mappings, datasets, qdc, udc, ldc, gaussm, logdens,
| PRTools contents |