SVM with polynomial kernel visualization
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A visual demonstration of the kernel trick in SVM.
This short video demonstrates how vectors of two classes that cannot be linearly separated in 2-D space,
can become linearly separated by a transformation function into a higher
dimensional space.
The transformation used is:
f([x y]) = [x y (x^2+y^2)]
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