Fast Nearest Neighbor Classifier
W = A*FNNC
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).