Kernel SVM
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Kernel SVMMLAI/Classification 2020. 1. 21. 00:20
1. Overview 2. Description 2.1 Motivation This happens because in this case the data is not linearly set separable. 2.2 Mapping to a Higher Dimension And now what we want to do is we just want to see that it is indeed linearly separable. And as you can see this dataset became linearly separable in this dimension. It is possible to do the same thing applies to two-dimensional space moving into th..