| PRTools contents |
PARZEN_MAP
F = PARZEN_MAP(A,W)
| Input | |
| A | Dataset |
| W | Trained Parzen classifier mapping (default: PARZENC(A)) |
| Output | |
| F | Mapped dataset |
Maps the dataset A by the Parzen density based classfier W. F*sigm are the posterior probabilities. W should be trained by a classifier like PARZENC. This routine is called automatically to solve A*W, if W is trained by PARZENC.
The global PRMEMORY is read for the maximum size of the internally declared matrix, default inf.
mappings, datasets, parzenc, testp,
| PRTools contents |