title: Why feature scaling in SVM?
body: <p>I found that scaling in SVM (Support Vector Machine) problems really improve its performance.
  I have read this explanation:</p>
  <blockquote>
  <p>The main advantage of scaling is to avoid attributes in greater numeric ranges dominating those in smaller numeric ranges.</p>
  </blockquote>
  <p>Unfortunately this didn't help me. Can somebody provide a better explanation?</p>