DC models for spherical separation

  title={DC models for spherical separation},
  author={Annabella Astorino and Antonio Fuduli and Manlio Gaudioso},
  journal={J. Global Optimization},
We propose two different approaches for spherical separation of two sets. Both methods are based on minimizing appropriate nonconvex nondifferentiable error functions, which can be both expressed in a DC (Difference of two Convex) form. We tackle the problem by adopting the DC-Algorithm. Some numerical results on classical binary datasets are reported.