SVM with polynomial kernel visualization

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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.

Category: Howto
Uploaded: February 5th, 2007 @ 2:44 pm
Author: udiprod

Length: 00:42
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Tags: svm polynomial linear science statistics mathmatics learning

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