New journal article: Clustering Categories in Support Vector Machines
03/03/2016
In February 2016 CBS Economic Department professor Dolores Romero Morales and colleagues worked out a new peer-reviewed journal article issued in Omega. The journal article - Clustering Categories in Support Vector Machines -discusses the four strategies for building the CLSVM classifier are presented based on solving: the SVM formulation in the original feature space, a quadratically constrained quadratic programming formulation, and a mixed integer quadratic programming formulation as well as its continuous relaxation.
The page was last edited by: Department of Economics // 10/08/2019