SVM with polynomial kernel visualization




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Published on Feb 5, 2007

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)]

If you would like a stand-alone file with a high-res version of this movie for academic purposes please contact me.

Visit my homepage http://www.zutopedia.com/udia.html, or read about my latest book "Zuto: The Adventures of a Computer Virus", http://www.zutopedia.com


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