private void CalculateStage()
{
TrainingSet temp = this.m_set;
StringBuilder sb = new StringBuilder();
int count = Enum.GetNames(typeof(ClusterType)).Length;
sb.AppendLine("---------------------------------------------------------------------------------------------");
sb.Append("Observations\t");
for (int i = 0; i < count; i++)
{
sb.Append($"Distance from M{i+1}\t\t");
}
sb.Append("Cluster");
sb.AppendLine();
sb.AppendLine("---------------------------------------------------------------------------------------------");
for (int i = 0; i < temp.Samples.Count; i++)
{
TrainingSample sample = temp.Samples[i];
int val1 = sample.Variable1;
int val2 = sample.Variable2;
sb.Append(sample.Observation);
sb.Append("\t\t");
int lowestC = int.MaxValue;
double lowestDis = double.MaxValue;
for (int j = 0; j < count; j++)
{
double mx = CalculateMX(j);
double my = CalculateMY(j);
double distance = GetOklidDistance(val1, mx, val2, my);
if (distance < lowestDis)
{
lowestDis = distance;
lowestC = j;
ClusterType type = (ClusterType)Enum.ToObject(typeof(ClusterType), lowestC);
sample.SetClusterType(type);
this.m_set.Samples[i] = sample;
}
sb.Append($"d(M{j + 1}, {sample.Observation}) = {distance} \t");
}
sb.Append($"\tC{(int)sample.ClusterType + 1}");
sb.AppendLine();
}
sb.Append("---------------------------------------------------------------------------------------------");
Console.WriteLine(sb.ToString());
}
private double CalculateMY(int clusterIndex)
{
double temp = 0.0d;
for (int i = 0; i < this.m_set.Samples.Count; i++)
{
TrainingSample sample = this.m_set.Samples[i];
if ((int)sample.ClusterType == clusterIndex)
{
temp += sample.Variable2;
}
}
return(Math.Round(temp / GetMCount(clusterIndex), 2));
}
public void AddSample(TrainingSample sample)
{
if (this.m_canAddSample)
{
if (!this.Samples.Contains(sample))
{
this.Samples.Add(sample);
}
else
{
throw new Exception("Already contains value");
}
}
else
{
throw new Exception("Training set was locked");
}
}
private void PrintInit()
{
StringBuilder sb = new StringBuilder();
int count = Enum.GetNames(typeof(ClusterType)).Length;
sb.AppendLine("---------------------------------------------------------------------------------------------");
sb.Append("Observations\tVar1\tVar2\tCluster");
sb.AppendLine();
sb.AppendLine("---------------------------------------------------------------------------------------------");
for (int i = 0; i < this.m_set.Samples.Count; i++)
{
TrainingSample sample = this.m_set.Samples[i];
sb.AppendLine($"{sample.Observation}\t\t{sample.Variable1}\t\t{sample.Variable2}\t\t{sample.ClusterType.ToString()}");
sb.AppendLine();
}
sb.Append("---------------------------------------------------------------------------------------------");
Console.WriteLine(sb.ToString());
}
private double CalculateSubE(int clusterIndex)
{
double temp = 0.0d;
for (int i = 0; i < this.m_set.Samples.Count; i++)
{
TrainingSample sample = this.m_set.Samples[i];
if ((int)sample.ClusterType == clusterIndex)
{
int val1 = sample.Variable1;
int val2 = sample.Variable2;
double mx = CalculateMX(clusterIndex);
double my = CalculateMY(clusterIndex);
double distance = GetSqrtDistance(val1, mx, val2, my);
temp += distance;
}
}
return(temp);
}
