private void btnProcessData_Click(object sender, EventArgs e)
{
IDistance eucledeanDistance = new EuclideanDistance();
BackgroundWorker backgroundWorker = new BackgroundWorker();
backgroundWorker.WorkerReportsProgress = true;
backgroundWorker.DoWork += (o, eventArgs) =>
{
for (int k = (int)start.Value; k <= (int)end.Value; k++)
{
List <double[]> distanceResult = new List <double[]>();
_kMeans = new KMeans(k, eucledeanDistance);
Centroid[] centroids = _kMeans.Run(_trainingSet.ToArray());
double result = 0;
foreach (double[] point in _trainingSet)
{
double minValue = Double.MaxValue;
foreach (Centroid centroid in centroids)
{
double distance = eucledeanDistance.Run(point, centroid.Array);
if (distance < minValue)
{
minValue = distance;
}
}
result += minValue;
}
result /= _trainingSet.Count;
_kmeansPointList.Add(new DPoint(k, result));
double progressPercent = (100 * k) / (int)end.Value;
((BackgroundWorker)o).ReportProgress((int)progressPercent, new UserState {
Distortion = result, Index = k
});
}
};
backgroundWorker.ProgressChanged += (o, eventArgsProgressChanged) =>
{
chart1.DataBind();
progressBar1.Value = eventArgsProgressChanged.ProgressPercentage;
UserState temp = eventArgsProgressChanged.UserState as UserState;
listBox1.Items.Add(String.Format("K={0}, Dist: {1}", temp.Index, Math.Round(temp.Distortion, 2)));
};
backgroundWorker.RunWorkerAsync();
}
