Progressive filter network: a general classification algorithm

Abstract Mass spectral data and EKG data have been used for the development of a Progressive Filter Network (PFN) algorithm which should be of wide utility. The PFN algorithm was compared to more sophisticated pattern recognition techniques and found to give comparable results. The advantages of the PFN algorithm are computational simplicity and the fact that the decision network generated may be used directly for feature selection.