Hi I know why feature scaling is preferred in SVM, I have two questions: 1-does anyone know of legit articles of books explaining it. I am writing my thesis and I need references. It doesnt have to be for SVM specific, even if it is for Neural Networks or other supervised learning algorithms it will be appreciated.

2-Other than the referencing part does anyone have another source for more explanations on the scaling or rescaling of inputs.



1 Answer 1


You can find this in "Elements of Statistical Learning" (http://web.stanford.edu/~hastie/local.ftp/Springer/OLD/ESLII_print4.pdf) on page 398. This is for neural nets.

Also, this is a very nice article that you can look at for more info on implementation (http://www.faqs.org/faqs/ai-faq/neural-nets/part2/section-16.html)


Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.

Not the answer you're looking for? Browse other questions tagged or ask your own question.