A new twin support vector machine for pattern recognition
A new nonparallel twin support vector machine is presented in this article which combine l2,1 -norm minimizing on both loss function and regularization which called (TWSVM_21). Our TWSVM_21 is formulated aiming to separate class more efficiently. Different from other nonparallel classifier, such as the presented TBSVM, the classifier we proposed in this paper joint l2,1 -norm. Experiments on DDSM datasets show the feasibility and effectiveness of our TWSVM_21.