An Optimal Classification Method for Biological and Medical Data

Abstract EN

This paper proposes a union of hyperspheres by the mixed-integer nonlinear program to classify biological and medical datasets.

A classifying program with nonlinear terms uses piecewise linearization technique to obtain a global optimum.

The numerical examples illustrate that the proposed method can obtain the global optimum more effectively than current methods.