| PRTools contents |
NORMM
B = A*NORMM(P)
B = NORMM(A,P)
| Input | |
| A | Dataset or matrix |
| P | Order of the Minkowski distance (optional; default: 1) |
| Output | |
| B | Dataset or matrix of normalized Minkowski-P distances |
Normalizes the distances of all objects in the dataset A such that their Minkowski-P distances to the origin equal one. For P=1 (default), this is useful for normalizing the probabilities. For 1-dimensional datasets (SIZE(A,2)=1), a second feature is added before the normalization such that A(:,2)=1-A(:,1).
Note that NORMM(P) or NORMM([],P) is a fixed mapping.
| PRTools contents |