The BT -SVM muti - classification is formed by learning sample classes and the optimal hyperplanes which are constructed in the nodes of binary tree by the samples corresponding to clustering centers.

• 该方法在二叉树各节点处根据聚类中心所对应的样本构造学习样本集和最优分类超平面,保障了聚类精度,有效地提高了测试正确率。