On p-norm linear discrimination

نویسندگان

  • Yana Morenko
  • Alexander Vinel
  • Zhaohan Yu
  • Pavlo A. Krokhmal
چکیده

We consider a p-norm linear discrimination model that generalizes the model of Bennett and Mangasarian (1992) and reduces to a linear programming problem with p-order cone constraints. The proposed approach for handling linear programming problems with p-order cone constraints is based on reformulation of p-order cone optimization problems as second order cone programming (SOCP) problems when p is rational. Since such reformulations typically lead to SOCP problems with large numbers of second order cones, an “economical” representation that minimizes the number of second order cones is proposed. A case study illustrating the developed model on several popular data sets is conducted.

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عنوان ژورنال:
  • European Journal of Operational Research

دوره 231  شماره 

صفحات  -

تاریخ انتشار 2013