Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

by Foster Provost

This is called a linear discriminant because it discriminates between the classes, and the function of the decision boundary is a linear combination — a weighted sum — of the attributes. In the two dimensions of our example, the linear combination corresponds to a line. In three dimensions, the decision boundary is a plane, and in higher dimensions it is a hyperplane

linear discriminant