Package cern.colt.matrix

Examples of cern.colt.matrix.DoubleMatrix2D.rows()

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   }

   private DoubleMatrix2D decompPCA (SingularValueDecomposition svd) {
      DoubleMatrix2D D = svd.getS ();
      // Calculer la racine carree des valeurs propres
      for (int i = 0; i < D.rows(); ++i) {
         lambda[i] = D.getQuick (i, i);
         D.setQuick (i, i, Math.sqrt (D.getQuick (i, i)));
      }
      DoubleMatrix2D P = svd.getV();
      return P.zMult (D, null);
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      SingularValueDecomposition sv = getSvd (sigma);
      // D contient les valeurs propres sur la diagonale
      DoubleMatrix2D D = sv.getS ();
      // Calculer la racine carree des valeurs propres
      for (int i = 0; i < D.rows(); ++i)
         D.setQuick (i, i, Math.sqrt (D.getQuick (i, i)));
      DoubleMatrix2D P = sv.getV();
      // Multiplier par la matrice orthogonale (ici P)
      return P.zMult (D, null);
   }
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    *
    */
   public static double[] getLambda (DoubleMatrix2D sigma) {
      SingularValueDecomposition sv = getSvd (sigma);
      DoubleMatrix2D D = sv.getS ();
      double[] lambd = new double[D.rows()];
      for (int i = 0; i < D.rows(); ++i)
         lambd[i] = D.getQuick (i, i);
      return lambd;
   }

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    */
   public static double[] getLambda (DoubleMatrix2D sigma) {
      SingularValueDecomposition sv = getSvd (sigma);
      DoubleMatrix2D D = sv.getS ();
      double[] lambd = new double[D.rows()];
      for (int i = 0; i < D.rows(); ++i)
         lambd[i] = D.getQuick (i, i);
      return lambd;
   }


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