Linear and Nonlinear Methods in Pattern Classification
Harvey J. Greenberg, Alan G. Konheim · IBM Journal of Research and Development · 1964
The problem of pattern classification has two highly interactive aspects: (1) the selection of numerical measurements to ‘represent’ the patterns, and (2) the specification of an algorithm to identify patterns, based upon the numerical values of these measurements. The present paper presents the mathematical framework for one attack upon these problems and gives results obtained in some experiments in character recognition.