Package de.lmu.ifi.dbs.elki.math.linearalgebra

Examples of de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix.norm2()

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      }

      Matrix strong_ev1 = pca1.getStrongEigenvectors();
      Matrix weak_ev2 = pca2.getWeakEigenvectors();
      Matrix m1 = weak_ev2.getColumnDimensionality() == 0 ? strong_ev1.transpose() : strong_ev1.transposeTimes(weak_ev2);
      double d1 = m1.norm2();

      WeightedDistanceFunction df1 = new WeightedDistanceFunction(pca1.similarityMatrix());
      WeightedDistanceFunction df2 = new WeightedDistanceFunction(pca2.similarityMatrix());

      double affineDistance = Math.max(df1.distance(o1, o2).doubleValue(), df2.distance(o1, o2).doubleValue());
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      }

      Matrix strong_ev1 = pca1.getStrongEigenvectors();
      Matrix weak_ev2 = pca2.getWeakEigenvectors();
      Matrix m1 = weak_ev2.getColumnDimensionality() == 0 ? strong_ev1.transpose() : strong_ev1.transposeTimes(weak_ev2);
      double d1 = m1.norm2();

      WeightedDistanceFunction df1 = new WeightedDistanceFunction(pca1.similarityMatrix());
      WeightedDistanceFunction df2 = new WeightedDistanceFunction(pca2.similarityMatrix());

      double affineDistance = Math.max(df1.distance(o1, o2).doubleValue(), df2.distance(o1, o2).doubleValue());
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