Exemple #1
0
  public static Matrix3D Process(Matrix3D _cube, Definitions.Algorithm _algorithm) {

    Matrix3D res = new Matrix3D();
    Set<Map.Entry<String, Matrix2D>> records = _cube.getIterator();

    // Mean and standard deviation
    System.out.println("Processing Mean and SD");
    Matrix2D _meanMat = RateOfMean.ColumnDepthMeanAndStandardDeviation(_cube, true, _algorithm);

    System.out.println("Processing layers...");
    int c = 0;
    boolean print = false;
    boolean print2 = false;
    for (Map.Entry<String, Matrix2D> entry : records) {

      Matrix2D layer = entry.getValue();
      MatrixDescriptor layerDesc = layer.getMatrixDescriptor();
      Matrix2D layerSS = new Matrix2D(layerDesc);
      // Matrix2D layerSS = layer.DoGPUStandardScore(_meanMat);

      for (int col = 0; col < layerDesc.getNumCols(); col++) {
        String colName = layerDesc.getColumnAt(col);
        float _mean = _meanMat.GetElement(RateOfMean.Mean, layerDesc.getColumnAt(col));
        float _sd = _meanMat.GetElement(RateOfMean.StandardDeviation, colName);

        for (int row = 0; row < layerDesc.getNumRows(); row++) {

          float _vv = layer.GetElement(row, col);
          if (_vv >= 8 && print == false) {
            print = true;
            float _ss = (layer.GetElement(row, col) - _mean) / _sd;
            System.out.println(_ss);
          }

          layerSS.SetElement(
              layerDesc.getRowAt(row),
              layerDesc.getColumnAt(col),
              (layer.GetElement(row, col) - _mean) / _sd);
        }
      }

      if (print == true && print2 == false) {
        print2 = true;
        layerSS.Debug();
      }

      res.AddLayer(entry.getKey(), layerSS);

      System.out.println("Standard Score of matrix " + c + " of " + records.size());
      c++;
    }

    return res;
  }
Exemple #2
0
  public static void Test3D() {
    MatrixDescriptor testDesc = new MatrixDescriptor(InfoType.USER, InfoType.ARTIFACT);
    testDesc.AddColDesc("circumf");
    testDesc.AddColDesc("area_cy");
    testDesc.AddColDesc("area_co");

    testDesc.AddRowDesc("Alice");
    testDesc.AddRowDesc("Carlos");
    Matrix2D testMat = new Matrix2D(testDesc);

    testMat.SetElement("Alice", "circumf", 2);
    testMat.SetElement("Alice", "area_cy", 4);
    testMat.SetElement("Alice", "area_co", 6);

    testMat.SetElement("Carlos", "circumf", 6);
    testMat.SetElement("Carlos", "area_cy", 8);
    testMat.SetElement("Carlos", "area_co", 2);

    Matrix2D layer2 = new Matrix2D(testDesc);

    layer2.SetElement("Alice", "circumf", 7);
    layer2.SetElement("Alice", "area_cy", 4);
    layer2.SetElement("Alice", "area_co", 2);

    layer2.SetElement("Carlos", "circumf", 2);
    layer2.SetElement("Carlos", "area_cy", 9);
    layer2.SetElement("Carlos", "area_co", 4);

    Matrix3D _cube = new Matrix3D();
    _cube.AddLayer(Database.CUBE_DEPTH_PREFIX + 0, testMat);
    _cube.AddLayer(Database.CUBE_DEPTH_PREFIX + 1, layer2);

    System.out.println();
    System.out.println("z-score cube");
    Matrix3D ssc = StandardScore.Process(_cube, Algorithm.CPU);
    ssc.Debug();
  }