Linear and nonlinear classifications c an be made with SVM,and the hyperplane can be defined by a few support vectors.SVM is insensitive to dimensions and numbers of training set.
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SVM能够解决线性及非线性分类问题,以较少的支持向量确定分类面,对样本数量及维数不敏感。
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