Selective ensemble of support vector data description（SVDD）based on correntropy of information theoretic learning and distance variance was proposed.Correntropy is utilized to substitute mean square error to measure the compactness of ensemble and construct more compact classification boundary.Distance variance is used to measure the diversity of base classifiers to enhance the diversity of the ensemble model.An L_1 norm based regularization term is introduced into the objective function to implement the selective ensemble.Moreover,the half-q...
