Binary Classification Based on Potentials
  We introduce a simple and computationally trivial method for binary classification based on the evaluation of potential functions. We demonstrate that despite the conceptual and computational simplicity of the method its performance can match or exceed that of standard Support Vector Machine methods. 
Erik Boczko, Andrew DiLullo and Todd Young