Using weighted least squares to approximate the discriminant function with a cylindrical surface in classification problems

Abstract

We show a method for approximating a discriminant function with a cylindrical surface in classification and image recognition problems by sequential approximations to the zero of the discriminant function (cylinder’s directrix) with weighted least squares. This approach improves the efficiency of decision rules. We show characteristic examples.