title: Text clustering with KL divergence
body: <p>I am trying to cluster texts,for each one I have defined a language model, based on smoothed Dirichlet priors bigrams, so I would like to use k-means algorithm to do that, using KL divergence maybe as the clustering function. Is there any guidance to do that?Am I able to use one of the classic similarity measures such as cosine similarity? </p>
  
  <p>Thank you in advance</p>