public void CalcIndex()
{
try
{
uQlustCore.RandIndex calc = new uQlustCore.RandIndex();
if (!radioButton1.Checked)
{
maxV = 0;
for (int i = 0; i < listBox1.Items.Count; i++)
{
string[] tmp = ((string)listBox1.Items[i]).Split('+');
maxV += calc.Size((List <List <string> >)(dataGridView1.Rows[gridPosition[tmp[0]]].Cells[5].Value), (List <List <string> >)(dataGridView1.Rows[gridPosition[tmp[1]]].Cells[5].Value));
}
for (int i = 0; i < listBox1.Items.Count; i++)
{
string[] tmp = ((string)listBox1.Items[i]).Split('+');
calc.ClusterDistance((List <List <string> >)(dataGridView1.Rows[gridPosition[tmp[0]]].Cells[5].Value), (List <List <string> >)(dataGridView1.Rows[gridPosition[tmp[1]]].Cells[5].Value), (string)listBox1.Items[i], ref currentV, 0);
}
}
else
{
for (int i = 0; i < listBox1.Items.Count; i++)
{
for (int j = (int)numericUpDown1.Value; j < (int)numericUpDown2.Value; j++, currentV++)
{
string[] tmp = ((string)listBox1.Items[i]).Split('+');
List <List <string> > cl1 = null;
List <List <string> > cl2 = null;
if (dicOuput[tmp[0]].hNode != null)
{
cl1 = dicOuput[tmp[0]].hNode.GetClusters(j);
}
else
if (dicOuput[tmp[0]].clusters != null)
{
cl1 = dicOuput[tmp[0]].clusters;
}
if (dicOuput[tmp[1]].hNode != null)
{
cl2 = dicOuput[tmp[1]].hNode.GetClusters(j);
}
else
if (dicOuput[tmp[1]].clusters != null)
{
cl2 = dicOuput[tmp[1]].clusters;
}
maxV += calc.Size(cl1, cl2);
}
}
for (int i = 0; i < listBox1.Items.Count; i++)
{
string[] tmp = ((string)listBox1.Items[i]).Split('+');
List <List <string> > cl1 = null;
List <List <string> > cl2 = null;
for (int j = (int)numericUpDown1.Value; j < (int)numericUpDown2.Value; j++, currentV++)
{
if (dicOuput[tmp[0]].hNode != null)
{
cl1 = dicOuput[tmp[0]].hNode.GetClusters(j);
}
else
if (dicOuput[tmp[0]].clusters != null)
{
cl1 = dicOuput[tmp[0]].clusters;
}
if (dicOuput[tmp[1]].hNode != null)
{
cl2 = dicOuput[tmp[1]].hNode.GetClusters(j);
}
else
if (dicOuput[tmp[1]].clusters != null)
{
cl2 = dicOuput[tmp[1]].clusters;
}
if (cl1 == null)
{
throw new Exception(tmp[0] + " is a type of clustering that is not supported by this tool");
}
if (cl2 == null)
{
throw new Exception(tmp[1] + " is a type of clustering that is not supported by this tool");
}
calc.ClusterDistance(cl1, cl2, (string)listBox1.Items[i], ref currentV, j);
}
}
}
resTable = calc.resT;
currentV = maxV;
}
catch (Exception ex)
{
exc = ex;
}
}
public void CalcIndex()
{
try
{
uQlustCore.RandIndex calc = new uQlustCore.RandIndex();
if (!radioButton1.Checked)
{
maxV = 0;
for (int i = 0; i < listBox1.Items.Count; i++)
{
string[] tmp = ((string)listBox1.Items[i]).Split('+');
maxV += calc.Size((List<List<string>>)(dataGridView1.Rows[gridPosition[tmp[0]]].Cells[5].Value), (List<List<string>>)(dataGridView1.Rows[gridPosition[tmp[1]]].Cells[5].Value));
}
for (int i = 0; i < listBox1.Items.Count; i++)
{
string[] tmp = ((string)listBox1.Items[i]).Split('+');
calc.ClusterDistance((List<List<string>>)(dataGridView1.Rows[gridPosition[tmp[0]]].Cells[5].Value), (List<List<string>>)(dataGridView1.Rows[gridPosition[tmp[1]]].Cells[5].Value), (string)listBox1.Items[i], ref currentV, 0);
}
}
else
{
for (int i = 0; i < listBox1.Items.Count; i++)
for (int j = (int)numericUpDown1.Value; j < (int)numericUpDown2.Value; j++, currentV++)
{
string[] tmp = ((string)listBox1.Items[i]).Split('+');
List<List<string>> cl1 = null;
List<List<string>> cl2 = null;
if (dicOuput[tmp[0]].hNode != null)
cl1 = dicOuput[tmp[0]].hNode.GetClusters(j);
else
if (dicOuput[tmp[0]].clusters != null)
cl1 = dicOuput[tmp[0]].clusters;
if (dicOuput[tmp[1]].hNode != null)
cl2 = dicOuput[tmp[1]].hNode.GetClusters(j);
else
if (dicOuput[tmp[1]].clusters != null)
cl2 = dicOuput[tmp[1]].clusters;
maxV += calc.Size(cl1, cl2);
}
for (int i = 0; i < listBox1.Items.Count; i++)
{
string[] tmp = ((string)listBox1.Items[i]).Split('+');
List<List<string>> cl1 = null;
List<List<string>> cl2 = null;
for (int j = (int)numericUpDown1.Value; j < (int)numericUpDown2.Value; j++, currentV++)
{
if (dicOuput[tmp[0]].hNode != null)
cl1 = dicOuput[tmp[0]].hNode.GetClusters(j);
else
if (dicOuput[tmp[0]].clusters != null)
cl1 = dicOuput[tmp[0]].clusters;
if (dicOuput[tmp[1]].hNode != null)
cl2 = dicOuput[tmp[1]].hNode.GetClusters(j);
else
if (dicOuput[tmp[1]].clusters != null)
cl2 = dicOuput[tmp[1]].clusters;
if (cl1 == null)
throw new Exception(tmp[0] + " is a type of clustering that is not supported by this tool");
if (cl2 == null)
throw new Exception(tmp[1] + " is a type of clustering that is not supported by this tool");
calc.ClusterDistance(cl1, cl2, (string)listBox1.Items[i], ref currentV, j);
}
}
}
resTable = calc.resT;
currentV = maxV;
}
catch(Exception ex)
{
exc = ex;
}
}
