private void button9_Click_1(object sender, EventArgs e)
{
while (ds.AttributesCount > (int)numericUpDown4.Value)
{
rtbdel.Text += "\n\n DataSet: " + ds.Quality[1];
double[] quals = new double[ds.AttributesCount];
if (removedAttrs == null)
{
removedAttrs = new bool[ds.AttributesCount];
}
for (int i = 0; i < quals.Length; i++)
{
List <KMCluster> KMeans = Clustering.KMeans(ds, (int)numericUpDown3.Value, i);
quals[i] = DataSet.QualityExcl(KMeans, i);
rtbdel.Text += "\n DataSet without attr #" + i + ": " + quals[i];
}
int minIndex = 0;
for (int i = 0; i < quals.Length; i++)
{
if (quals[i] < quals[minIndex])
{
minIndex = i;
}
}
rtbdel.Text += "\n REMOVING attr #" + minIndex;
ds.RemoveAttr(minIndex);
int co = 0;
for (int i = 0; i <= minIndex; i++)
{
if (removedAttrs[i])
{
co += 1;
}
}
removedAttrs[co + minIndex] = true;
ds.KMeans = Clustering.KMeans(ds, (int)numericUpDown3.Value);
rtbdel.Text += "\n New DataSet: " + ds.Quality[1];
}
Printer.Objects(ds, dgv);
Printer.KMeansMeans(ds, dataGridView2);
rtbdel.Text += "\n\n\n Attrs were removed: ";
for (int i = 0; i < removedAttrs.Length; i++)
{
if (removedAttrs[i])
{
rtbdel.Text += " #" + i;
}
}
}
private void button3_Click(object sender, EventArgs e)
{
ds.KMeans = Clustering.KMeans(ds, (int)numericUpDown3.Value);
Printer.Objects(ds, dgv);
Printer.KMeansMeans(ds, dataGridView2);
}
private void button4_Click(object sender, EventArgs e) //#2
{
ds.Hierarchy = Clustering.Hierarchy(ds, (int)numericUpDown3.Value);
Printer.Objects(ds, dgv);
Printer.HierarchyMeans(ds, dataGridView1);
}
private void button2_Click(object sender, EventArgs e)
{
Clustering.Standardize(ds);
Printer.Objects(ds, dgv);
}