Discriminant Analysis

  A technique using least squares methods to separate optimally two groups of data, using a training sample. Data points are characterized by several variables; the optimal discriminant function is assumed to be a linear function of the variables, and is determined by maximizing the distance between the means of the two training samples, leading to a linear least squares problem.  also Neyman-Pearson Diagram.