private void CalculateDistances()
{
Console.WriteLine("DISTANCES");
Console.WriteLine("---------------------------------------------------------------------------------------------");
int count = this.m_set.Samples.Count;
for (int i = 0; i < count; i++)
{
for (int j = i; j < count; j++)
{
if (i == j)
{
continue;
}
int refX1 = m_set.Samples[i].X1;
int refX2 = m_set.Samples[i].X2;
int X1 = m_set.Samples[j].X1;
int X2 = m_set.Samples[j].X2;
double distance = Math.Round(FindDistance(refX1, refX2, X1, X2), 2);
m_results[i, j] = new TrainingResult(j + 1, i + 1, distance);
Console.WriteLine($"d({i + 1}, {j + 1}) = SQRT( ({refX1} - {X1}) ^ 2 + ({refX2} - {X2}) ^ 2 ) \tDISTANCE = {distance}");
}
}
}
private void DestroyMinRow()
{
TrainingResult min = this.GetMin(this.m_results);
if (min != null)
{
this.RemoveXYFromResults(min.X, min.Y);
}
}
private void RemoveXYFromResults(int X, int Y)
{
double lowDestroy = 0.0d;
int lowX = -1;
int lowY = -1;
for (int i = 0; i < this.m_results.GetLength(0); i++)
{
for (int j = 0; j < this.m_results.GetLength(1); j++)
{
//Console.WriteLine($"X:{X} Y:{Y} i:{i} j:{j} Distance:{this.m_results[i, j]?.Distance}");
if (j == X - 1)
{
TrainingResult current = this.m_results[i, j];
if (current != null)
{
double val = this.m_results[i, j].Distance;
if (lowDestroy == 0)
{
lowDestroy = val;
lowX = current.X;
lowY = current.Y;
}
else if (lowDestroy > val)
{
lowDestroy = val;
lowX = current.X;
lowY = current.Y;
}
this.m_results[i, j] = null;
}
}
}
}
if (lowX >= lowY)
{
this.m_data.Move(lowX, lowY);
}
else
{
this.m_data.Move(lowY, lowX);
}
if (!m_clusters.ContainsKey(lowDestroy))
{
this.m_clusters.Add(lowDestroy, new List <int>()
{
lowX, lowY
});
}
else
{
this.m_clusters[lowDestroy].AddRange(new int[] { lowX, lowY });
}
}
private TrainingResult GetMin(TrainingResult[,] results)
{
double min = double.MaxValue;
int okX = 0;
int okY = 0;
for (int i = 0; i < results.GetLength(0); i++)
{
for (int j = 0; j < results.GetLength(1); j++)
{
TrainingResult current = results[i, j];
if (current != null)
{
if (current.Distance < min)
{
min = current.Distance;
okX = i;
okY = j;
}
}
}
}
return(results[okX, okY]);
}