title: Unbalanced clusters Spectral Coclustering sklearn
body: <p>I'm following the Spectral Coclustering of documents and words tutorial on sklearn (<a href="http://scikit-learn.org/stable/auto_examples/bicluster/plot_bicluster_newsgroups.html#sphx-glr-auto-examples-bicluster-plot-bicluster-newsgroups-py" rel="nofollow noreferrer">http://scikit-learn.org/stable/auto_examples/bicluster/plot_bicluster_newsgroups.html#sphx-glr-auto-examples-bicluster-plot-bicluster-newsgroups-py</a>) and my clusters are very unbalanced. I have the output :</p>
  
  <pre><code>Vectorizing...
  Coclustering...
  Done in 7.20s. V-measure: 0.4267
  MiniBatchKMeans...
  Done in 9.13s. V-measure: 0.4414
  
  Best biclusters:
  ----------------
  bicluster 0 : 8 documents, 6 words
  categories   : 100% talk.politics.mideast
  words        : angmar, cosmo, alfalfa, alphalpha, proline, benson
  
  bicluster 1 : 4 documents, 9 words
  categories   : 100% comp.windows.x
  words        : elin, eeam, ges, energeanwendung, penzingerstr, gesmbh, energieanwendung, hochreiter, wien
  
  bicluster 2 : 14 documents, 33 words
  categories   : 86% comp.windows.x, 14% talk.politics.mideast
  words        : rpicas, porto, wg2, se05, libxmu, waii, xmu, picas, inescn, ep130
  
  bicluster 3 : 2809 documents, 4242 words
  categories   : 25% comp.windows.x, 21% comp.sys.ibm.pc.hardware, 20% comp.graphics
  words        : windows, scsi, motif, ide, graphics, pc, card, window, bmug, controller
  
  bicluster 4 : 5166 documents, 5686 words
  categories   : 16% rec.motorcycles, 15% rec.autos, 14% sci.electronics
  words        : autos, motorcycles, bike, car, sale, engine, dod, bmw, engr, honda
  </code></pre>
  
  <p>I don't know why its different from the tutorial, but is there a solution to have more balanced clusters ?</p>
  
  <p>I even code my "own" Spectral coclustering following <a href="http://www.kemaleren.com/post/spectral-biclustering-part-1/" rel="nofollow noreferrer">this link</a> and using the SVD from scipy.sparse.linalg and the Kmeans from sklearn, but I have the same problem...</p>
  
  <p>Thank you !</p>