title: Spectral Clustering Scikit learn print items in Cluster
body: <p>I know I can get the contents of a particular cluster in K-means clustering with the following code using scikit-learn. </p>
  
  <pre><code>    order_centroids = model.cluster_centers_.argsort()[:, ::-1]
      terms = vectorizer.get_feature_names()
      for i in range(true_k):
          print "Cluster %d:" % i,
          for ind in order_centroids[i, :10]:
              print ' %s' % terms[ind],
          print
  </code></pre>
  
  <p>How do I do the same for spectral clustering as there is no attribute 'cluster_centers_'for spectral clustering? I am trying to cluster terms in Text documents.</p>