private void FindPSIandSHD()
{
int rowCount = _trainingDataTable.Rows.Count;
int numberofAttributes = _headerLine.Count - 2;
indexMatrix = new GsiAndShdIndexes[rowCount][];
for (int i = 0; i < rowCount; i++)
{
indexMatrix[i] = new GsiAndShdIndexes[i + 1];
}
int totalCounter = 0;
Parallel.For(0, rowCount, i =>
{
DataRow rowA = _trainingDataTable.Rows[i];
int k = i + 1;
for (int j = k; j < rowCount; j++)
{
DataRow rowB = _trainingDataTable.Rows[j];
GsiAndShdIndexes newIndex = new GsiAndShdIndexes();
newIndex.PsiIndex = CalculatePSI(rowA, rowB, numberofAttributes);
newIndex.ShdIndex = CalculateSHD(rowA, rowB);
indexMatrix[j][i] = newIndex;
totalCounter++;
}
}
);
}
private void FindPSIandSHD()
{
int rowCount = _trainingDataTable.Rows.Count;
int numberofAttributes = _headerLine.Count - 2;
indexMatrix = new GsiAndShdIndexes[rowCount][];
for (int i = 0; i < rowCount; i++)
{
indexMatrix[i] = new GsiAndShdIndexes[i + 1];
}
int totalCounter = 0;
Parallel.For(0, rowCount, i =>
{
DataRow rowA = _trainingDataTable.Rows[i];
int k = i + 1;
for (int j = k; j < rowCount; j++)
{
DataRow rowB = _trainingDataTable.Rows[j];
GsiAndShdIndexes newIndex = new GsiAndShdIndexes();
newIndex.PsiIndex = CalculatePSI(rowA, rowB, numberofAttributes);
newIndex.ShdIndex = CalculateSHD(rowA, rowB);
indexMatrix[j][i] = newIndex;
totalCounter++;
}
}
);
}
