title: Binary Classification by using Gaussian Mixture Model
body: <p>I want to implement the T=Log( f ( x | client) ) - Log( f ( x | impostor) ) for decision boundary. My features for training and testing are 20*12.
  I have applied the voicebox matlab tool box. I write the following MATLAB code :</p>
  
  <pre><code>if max(lp_client)- max(lp_impostor) &gt;0.35
     disp('accept');
  else
     disp('reject');
  end
  </code></pre>
  
  <p>Should I used mean of Log probability or max of Log probability ? </p>