code: public Matrix computeSVD(Matrix sparse_matrix, int dimensions) {
          try {
              File rawTermDocMatrix = 
                  File.createTempFile("lra-term-document-matrix", ".dat");
              MatrixIO.writeMatrix(sparse_matrix, rawTermDocMatrix,
                                   MatrixIO.Format.SVDLIBC_SPARSE_TEXT); 
              MatrixFile mFile = new MatrixFile(
                      rawTermDocMatrix, MatrixIO.Format.SVDLIBC_SPARSE_TEXT);
              reducer.factorize(mFile, dimensions);
              return reducer.dataClasses();
          } catch (IOException ioe){
              throw new IOError(ioe);
          }
      }
docs: Does the Singular Value Decomposition using the generated sparse matrix.
  The dimensions used cannot exceed the number of columns in the original
  matrix.
  
  @param sparse_matrix the sparse {@code Matrix}
  @param dimensions the number of singular values to calculate
  @return The decomposed word space {@link Matrix}