Fast Nearest Neighbor Classifier
W = A*FNNC(LOO)
This is a fast version of KNNC(,1), especially useful for many-class problems. For reasons of speed it will NOT return proper confidences on evaluation. D = B*W will be a 0/1 dataset. Classification results are otherwise identical to KNNC(,1).
LOO is a logical that should be TRUE in case W is applied to the same dataset (A) to enforce Leave-One-Out processing. Default LOO is FALSE.