Classification of support vector machine -- diagnosis of breast cancer based on electrical impedance
2016-08-23
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SVM (Support Vector Machine,SVM) is a new approach to machine learning, statistical learning theories of its foundation was created by Vapnik (Statiscal Learning Theory,STL). Statistical learning theory with structural risk minimization (Structural Risk Minimization,SRM) guidelines, minimizing sample point error at the same time, minimized risk, improving the generalization of the model, and there are no restrictions on data dimension. At the time of the linear classification, classification taken from the two types of samples from a larger place for nonlinear classification by high dimensional space transform, the nonlinear classification into a high-dimensional space of linear classification problems.
Are described in more detail in this chapter support vector machine classification method, and its application to
Are described in more detail in this chapter support vector machine classification method, and its application to
matlab
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基于
支持
向量
特性
组织
诊断
电阻
乳腺癌
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