title: Determinig the number of hidden states in a Hidden Markov Model
body: <p>I am learning about Hidden Markov Models for classifying motion in a sequence of t image frames.</p>
  
  <p>Assume I have m dimensions of feature from each frame. Then I cluster it into a symbol (for observable symbol). And I create k different HMM model for k class.</p>
  
  <p>Then, how do I determine the number of hidden states for each model to optimise prediction ?</p>
  
  <p>Btw, is my approach correct? If I misunderstood how to use it, please correct me:)</p>
  
  <p>Thanks :)</p>