public int[,] CalculateWinnerFreqency(TrainingSet tas, out List <KohonenMapClassification> list)
{
int[,] result = new int[size.Width, size.Height];
List <string> listNames = new List <string>();
// if (list == null)
list = new List <KohonenMapClassification>();
int i = 0;
foreach (TrainingSample ts in tas.TrainingSamples)
{
PositionNeuron p = FindWinner(ts.InputVector);
result[p.Coordinate.X, p.Coordinate.Y]++;
string clsname = "X" + p.Coordinate.X.ToString() + "Y" + p.Coordinate.Y.ToString();
if (listNames.Contains(clsname))
{
var k = from c in list where c.ClassName == clsname select c;
k.First().ClassifiedInputPatternIndex.Add(i);
}
else
{
listNames.Add(clsname);
KohonenMapClassification mapcls = new KohonenMapClassification(clsname)
{
X = p.Coordinate.X,
Y = p.Coordinate.Y
};
mapcls.ClassifiedInputPatternIndex.Add(i);
list.Add(mapcls);
}
i++;
}
ColorMap cmap = new ColorMap(Color.Blue, Color.Red);
Color[] colors = cmap.GenerateUniqueColors(list.Count);
i = 0;
foreach (KohonenMapClassification cls in list)
{
cls.ColorIndicator = colors[i];
i++;
}
return(result);
}