Least squares twin multi-class classification support vector machine

@article{Nasiri2015LeastST,
  title={Least squares twin multi-class classification support vector machine},
  author={Jalal A. Nasiri and Nasrollah Moghaddam Charkari and Saeed Jalili},
  journal={Pattern Recognition},
  year={2015},
  volume={48},
  pages={984-992}
}
Twin K-class support vector classification (Twin-KSVC) is a novel multi-class method based on twin support vector machine (TWSVM). In this paper, we formulate a least squares version of Twin-KSVC called as LST-KSVC. This formulation leads to extremely simple and fast algorithm. LST-KSVC, same as the Twin-KSVC, evaluates all the training data into a ”1-versus-1versus-rest” structure, so it generates ternary output {-1, 0, +1}. In LSTKSVC, the solution of the two modified primal problems is… CONTINUE READING