private void voBtnKMeanPPV_Click(object sender, EventArgs e)
{
int kiNumClusters;
List <ClusterCenterPoint> koCList = null;
try
{
if (this.voPList.Count == 0)
{
throw new Exception("No points data exists..");
}
kiNumClusters = int.Parse(this.voTbCount.Text);
KMeans.MDoKMeansWithMinVariance(kiNumClusters, ref this.voPList, ref koCList, 0.1, 1000, true);
MyImageProc.MDrawClusters(this.voPB, this.voPList, 1.0, kiNumClusters);
this.voTbResult.Text = mComputeAndShowVarianceResults(kiNumClusters);
}
catch (Exception koEx)
{
MessageBox.Show(koEx.Message);
}
}
private void voBtnLoad_Click(object sender, EventArgs e)
{
string koDataFileName;
string koLine;
string[] koParts;
char[] kcDelim = { ',', ' ' };
try
{
OpenFileDialog koDlg = new OpenFileDialog( );
if (koDlg.ShowDialog( ) == DialogResult.OK)
{
this.voPList.Clear( );
koDataFileName = koDlg.FileName;
using (StreamReader koReader = new StreamReader(koDataFileName))
{
while ((koLine = koReader.ReadLine( )) != null)
{
koParts = koLine.Split(kcDelim);
if (koParts.Length >= 3)
{
this.voPList.Add(new MyPoint( )
{
VdX = double.Parse(koParts[1]),
VdY = double.Parse(koParts[2])
});
}
}
MyImageProc.MDrawClusters(this.voPB, this.voPList, 1.0, 1);
}
}
}
catch (Exception koEx)
{
MessageBox.Show(koEx.Message);
}
}
private void voBtnInit_Click(object sender, EventArgs e)
{
MyPoint koPt;
Random koRand = new Random( );
int kiDataLength = 5000; // number of data points
double kdRNum;
this.voPList.Clear( );
// create 4 distributions with different means and std devs
double kdMeanX0 = 150, kdMeanX1 = 250, kdMeanX2 = 375, kdMeanX3 = 475;
double kdMeanY0 = 175, kdMeanY1 = 250, kdMeanY2 = 350, kdMeanY3 = 450;
double kdStdDevX0 = 240, kdStdDevX1 = 270, kdStdDevX2 = 220, kdStdDevX3 = 260;
double kdStdDevY0 = 250, kdStdDevY1 = 240, kdStdDevY2 = 280, kdStdDevY3 = 245;
int kiIndex = 0;
for (int i = 0; i < (kiDataLength / 4); i++)
{
koPt = new MyPoint( );
kdRNum = koRand.NextDouble( );
if (kdRNum < 0.5)
{
koPt.VdX = koRand.NextDouble( ) * kdStdDevX0 / 2 + kdMeanX0;
}
else
{
koPt.VdX = -1 * koRand.NextDouble( ) * kdStdDevX0 / 2 + kdMeanX0;
}
if (kdRNum < 0.5)
{
koPt.VdY = koRand.NextDouble( ) * kdStdDevY0 / 2 + kdMeanY0;
}
else
{
koPt.VdY = -1 * koRand.NextDouble( ) * kdStdDevY0 / 2 + kdMeanY0;
}
kiIndex++;
this.voPList.Add(koPt);
}
for (int i = 0; i < (kiDataLength / 4); i++)
{
koPt = new MyPoint( );
kdRNum = koRand.NextDouble( );
if (kdRNum < 0.5)
{
koPt.VdX = koRand.NextDouble( ) * kdStdDevX1 / 2 + kdMeanX1;
}
else
{
koPt.VdX = -1 * koRand.NextDouble( ) * kdStdDevX1 / 2 + kdMeanX1;
}
if (kdRNum < 0.5)
{
koPt.VdY = koRand.NextDouble( ) * kdStdDevY1 / 2 + kdMeanY1;
}
else
{
koPt.VdY = -1 * koRand.NextDouble( ) * kdStdDevY1 / 2 + kdMeanY1;
}
kiIndex++;
this.voPList.Add(koPt);
}
for (int i = 0; i < (kiDataLength / 4); i++)
{
koPt = new MyPoint( );
kdRNum = koRand.NextDouble( );
if (kdRNum < 0.5)
{
koPt.VdX = koRand.NextDouble( ) * kdStdDevX2 / 2 + kdMeanX2;
}
else
{
koPt.VdX = -1 * koRand.NextDouble( ) * kdStdDevX2 / 2 + kdMeanX2;
}
if (kdRNum < 0.5)
{
koPt.VdY = koRand.NextDouble( ) * kdStdDevY2 / 2 + kdMeanY2;
}
else
{
koPt.VdY = -1 * koRand.NextDouble( ) * kdStdDevY2 / 2 + kdMeanY2;
}
kiIndex++;
this.voPList.Add(koPt);
}
for (int i = 0; i < (kiDataLength / 4); i++)
{
koPt = new MyPoint( );
kdRNum = koRand.NextDouble( );
if (kdRNum < 0.5)
{
koPt.VdX = koRand.NextDouble( ) * kdStdDevX3 / 2 + kdMeanX3;
}
else
{
koPt.VdX = -1 * koRand.NextDouble( ) * kdStdDevX3 / 2 + kdMeanX3;
}
if (kdRNum < 0.5)
{
koPt.VdY = koRand.NextDouble( ) * kdStdDevY3 / 2 + kdMeanY3;
}
else
{
koPt.VdY = -1 * koRand.NextDouble( ) * kdStdDevY3 / 2 + kdMeanY3;
}
kiIndex++;
this.voPList.Add(koPt);
}
MyImageProc.MDrawClusters(this.voPB, this.voPList, 1.0, 1);
}
