Comparison of Binary Classification Based on Signed Distance Functions with Support Vector Machines

Abstract

We compare methods based on the Signed Distance Function (SDF) a new tool for binary classification with standard Support Vector Machine (SVM) methods. We demonstrate on several sets of micro-array data that the performance of the SDF based methods can match or exceed that of SVM methods.