title: How to obtain the eigenvalues after performing Multidimensional scaling?
body: <p>I am interested in taking a look at the Eigenvalues after performing Multidimensional scaling. What function can do that ? I looked at the <a href="http://scikit-learn.org/stable/modules/generated/sklearn.manifold.MDS.html#sklearn.manifold.MDS" rel="nofollow">documentation</a>, but it does not mention Eigenvalues at all.</p>
  
  <p>Here is a code sample:</p>
  
  <blockquote>
  <pre><code>mds = manifold.MDS(n_components=100, max_iter=3000, eps=1e-9,
                     random_state=seed, dissimilarity="precomputed", n_jobs=1)
  results = mds.fit(wordDissimilarityMatrix)
  # need a way to get the Eigenvalues
  </code></pre>
  </blockquote>