private void DrawGraph(Kmeans kmeans)
{
var plotName = "p" + PlotDrawCount;
//Init
for (int i = 0; i < kmeans.K; i++)
{
if (kmeans.CenterList[i].X != int.MaxValue)
{
chart1.Series.Add(plotName + i);
chart1.Series[plotName + i].IsVisibleInLegend = false;
chart1.Series[plotName + i].ChartType = System.Windows.Forms.DataVisualization.Charting.SeriesChartType.Point;
}
}
//plot Normal Point
foreach (var p in kmeans.ClusterPoints)
{
chart1.Series[plotName + p.ClusterIndex].Points.AddXY(p.Point.X, p.Point.Y);
}
//Clusterling Average Plot
for (int i = 0; i < kmeans.CenterList.Count; i++)
{
if (kmeans.CenterList[i].X != int.MaxValue)
{
chart1.Series[plotName + i].Points.AddXY(kmeans.CenterList[i].X, kmeans.CenterList[i].Y);
var len = chart1.Series[plotName + i].Points.Count;
chart1.Series[plotName + i].Points[len - 1].MarkerSize = 15;
}
}
PlotDrawCount++;
}
private List <Kmeans> RecursiveProcessing(Kmeans parent, List <Kmeans> register)
{
var child1 = new Kmeans(_k, parent.ClusterPoints.Where(x => x.ClusterIndex == 0).Select(x => x.Point).ToList());
var child2 = new Kmeans(_k, parent.ClusterPoints.Where(x => x.ClusterIndex == 1).Select(x => x.Point).ToList());
child1.Calculation(1);
child2.Calculation(1);
if (parent.CenterDistDispersion[0] > child1.CenterDistDispersion[0] + child1.CenterDistDispersion[1]
// if( parent.BICs[0] > child1.BICs[0] + child1.BICs[1]
&& child1.ClusterPoints.Count > 1)
{
RecursiveProcessing(child1, register);
}
else
{
register.Add(child1);
}
if (parent.CenterDistDispersion[1] > child2.CenterDistDispersion[0] + child2.CenterDistDispersion[1]
// if(parent.BICs[1] > child2.BICs[0] + child2.BICs[1]
&& child2.ClusterPoints.Count > 1)
{
RecursiveProcessing(child2, register);
}
else
{
register.Add(child2);
}
return(register);
}
public Xmeans(List <Point> points)
{
TopKm = new Kmeans(_k, points);
}
private void DrawGraph(Kmeans kmeans)
{
var plotName = "p" + PlotDrawCount;
//Init
for (int i = 0; i < kmeans.K; i++)
{
if (kmeans.CenterList[i].X != int.MaxValue)
{
chart1.Series.Add(plotName + i);
chart1.Series[plotName + i].IsVisibleInLegend = false;
chart1.Series[plotName + i].ChartType = System.Windows.Forms.DataVisualization.Charting.SeriesChartType.Point;
}
}
//plot Normal Point
foreach (var p in kmeans.ClusterPoints)
{
chart1.Series[plotName + p.ClusterIndex].Points.AddXY(p.Point.X, p.Point.Y);
}
//Clusterling Average Plot
for (int i = 0; i < kmeans.CenterList.Count; i++)
{
if (kmeans.CenterList[i].X != int.MaxValue)
{
chart1.Series[plotName + i].Points.AddXY(kmeans.CenterList[i].X, kmeans.CenterList[i].Y);
var len = chart1.Series[plotName + i].Points.Count;
chart1.Series[plotName + i].Points[len - 1].MarkerSize = 15;
}
}
PlotDrawCount++;
}
private List<Kmeans> RecursiveProcessing(Kmeans parent, List<Kmeans> register)
{
var child1 = new Kmeans(_k, parent.ClusterPoints.Where(x => x.ClusterIndex == 0).Select(x => x.Point).ToList());
var child2 = new Kmeans(_k, parent.ClusterPoints.Where(x => x.ClusterIndex == 1).Select(x => x.Point).ToList());
child1.Calculation(1);
child2.Calculation(1);
if (parent.CenterDistDispersion[0] > child1.CenterDistDispersion[0] + child1.CenterDistDispersion[1]
// if( parent.BICs[0] > child1.BICs[0] + child1.BICs[1]
&& child1.ClusterPoints.Count > 1)
{
RecursiveProcessing(child1, register);
}
else register.Add(child1);
if (parent.CenterDistDispersion[1] > child2.CenterDistDispersion[0] + child2.CenterDistDispersion[1]
// if(parent.BICs[1] > child2.BICs[0] + child2.BICs[1]
&& child2.ClusterPoints.Count > 1)
{
RecursiveProcessing(child2, register);
}
else register.Add(child2);
return register;
}
public Xmeans(List<Point> points)
{
TopKm = new Kmeans(_k, points);
}
