private void button1_Click(object sender, EventArgs e)
{
button1.Enabled = false;
Random objRandom = new Random();
dataSetList = new List <double[]>();
for (int i = 0; i < (int)numericUpDown1.Value; i++)
{
double[] point = new double[3];
for (int j = 0; j < 2; j++)
{
point[j] = KNearestNeighboursManager.GenerateRandomDouble(objRandom, 0, 400);
}
point[2] = i % numClasses;
dataSetList.Add(point);
}
picImage.Invalidate();
}
private void picImage_Click(object sender, EventArgs e)
{
MouseEventArgs me = (MouseEventArgs)e;
if (me.Button == MouseButtons.Left)
{
double predicted = KNearestNeighboursManager.Classify(new double[] { Convert.ToDouble(me.X - 7), Convert.ToDouble(me.Y - 7) }, dataSetList.ToArray(), numClasses, k);
dataSetList.Add(new double[] { Convert.ToDouble(me.X - 7), Convert.ToDouble(me.Y - 7), predicted });
}
else if (me.Button == MouseButtons.Right)
{
var poz = dataSetList.FindIndex(c => c[0] <= me.X + 8 && c[0] >= me.X - 8 && c[1] <= me.Y + 8 && c[1] >= me.Y - 8);
if (poz != -1)
{
dataSetList.RemoveAt(poz);
}
}
picImage.Invalidate();
}
private void event_keyDown(object sender, KeyPressEventArgs e)
{
if (e.KeyChar == 13)
{
List <int> errors = new List <int>();
for (int i = 1; i < dataSetList.Count; i++)
{
errors.Add(0);
foreach (var point in dataSetList)
{
var value = KNearestNeighboursManager.Classify(new double[] { point[0], point[1] }, dataSetList.ToArray(), numClasses, i);
if (value != point[2])
{
errors[i - 1]++;
}
}
}
this.label2.Text += errors.IndexOf(errors.Min()) + 1;
}
picImage.Invalidate();
}
