Trainable mapping for dissimilarity matrix normalisation
V = DISNORM(D,OPT)
Operation on dissimilarity matrices, like the computation of classifiers in dissimilarity space, may depend on the scaling of the dissimilarities (a single scalar for the entire matrix). This routine computes a scaling for a giving matrix, e.g. a training set and applies it to other matrices, e.g. the same training set or based on a test set.
There is a fixed version of this mapping: DNORM