6. A neural network as in claim 1 wherein said processing means comprises: means for generating feature difference measurements for each of the reference vectors associated with said plurality of trained clusters, wherein a feature difference measurement is a distance between the N-feature coordinates of each of the reference vectors associated with said plurality of trained clusters and the NS feature coordinates of the input vector; and means for selecting a minimum feature distance measurement for the input vector.
6. A neural network as in claim 1 wherein said processing means comprises: means for generating feature difference measurements for each of the reference vectors associated with said plurality of trained clusters, wherein a feature difference measurement is a distance between the N-feature coordinates of each of the reference vectors associated with said plurality of trained clusters and the NS feature coordinates of the input vector; and means for selecting a minimum feature distance measurement for the input vector. 7. A neural network as in claim 6, wherein said means for selecting the minimum feature difference measurement is a Maxnet processor.