public static void calcTreesVariance(List <int>[] table, double[][] label, int labelindex, string filename)
{
List <double> average = new List <double>();
List <double> averaged_variance = new List <double>();
//calc avg
for (int i = 0; i < table.Count(); i++)
{
double tmpAvg = 0;
for (int j = 0; j < table[i].Count(); j++)
{
tmpAvg += label[table[i][j]][labelindex];
}
average.Add(tmpAvg / table[i].Count());
}
//calc var
for (int i = 0; i < table.Count(); i++)
{
double tmpVar = 0;
for (int j = 0; j < table[i].Count(); j++)
{
tmpVar += (label[table[i][j]][labelindex] - average[i]) * (label[table[i][j]][labelindex] - average[i]);
}
averaged_variance.Add(tmpVar / table[i].Count());
}
PrintEngine.printList(averaged_variance, filename);
}
public DimReduction(double[][] trainingMatrix)
{
//Create the Principal Component Analysis
_pca = new ModifedPca(trainingMatrix);
_pca.Compute();
PrintEngine.printList(_pca.Eigenvalues.ToList(), Form1.MainFolderName + "eigvalues.txt");
}