Comparison of Some Density Estimate Classification Procedures
Abstract A new method for comparing discrimination procedures is employed to investigate the relative performance with respect to number of points correctly classified by three discrimination procedures induced by estimating densities. Two of the procedures are based on non-parametric density estimates, while the third assumes a bivariate normal density with unknown parameters.