[W,V] = COPULAM(A,K)
The copula of a dataset transforms for every dimension every feature value into the value of its cumulative feature density. So, A*W executes the transform on the original data. A*W*V returns A again. This mapping uses MAPSD in order to apply it on another dataset B of the same dimensionality. It thereby creates an approximation trained by A.
If K is given, first a PCA to K dimensions is performed.