}

    }

    System.out.println("Similarity matrix made");

    QTClusterer qt = new QTClusterer(sm);

    for(Set<String> terms : qt.getClustersOfNames()) {

      System.out.println(terms);

    }

   

  }

    System.out.println("Cosines calculated in: " + (System.currentTimeMillis() - time));

    time = System.currentTimeMillis();

    QTClusterer qt = new QTClusterer(sm);

    System.out.println("Made clusters in: " + (System.currentTimeMillis() - time));

    for(Set<Integer> cluster : qt.getClustersBySize()) {

      List<File> clusterFiles = new ArrayList<File>();

      Map<Integer,Float> clusterMap = new HashMap<Integer,Float>();

       for(Integer i : cluster) {

      //VirtualSimilarityMatrix simMatrix = new VirtualSimilarityMatrix(docMatrix, docFiles, Math.min(svals.length, docMatrix.getRowDimension()-1));

      System.out.println("Similarity matrix: " + (System.currentTimeMillis() - time));

      time = System.currentTimeMillis();     

      QTClusterer qt = new QTClusterer(simMatrix);

      System.out.println("Made clusters in: " + (System.currentTimeMillis() - time));

      for(Set<Integer> cluster : qt.getClustersBySize()) {

        /*double[] fuzzyVector = vectorToPoints(combinedVector(cluster, docMatrix, svals), docMatrix, svals);

        double fvt = 0.0;

        Map<Integer,Float> fc = new HashMap<Integer,Float>();