public WindowToDraw(DataClustering clustering)
{
InitializeComponent();
dataClustering = clustering;
SetTitle();
DrawStart();
DrawPoints();
DrawFinish();
}
void DrawPoints()
{
List <GeometryDrawing> pointsDrawingList = new List <GeometryDrawing>();
List <GeometryGroup> pointsGeometryList = new List <GeometryGroup>();
foreach (Cluster cluster in dataClustering.Clusters)
{
if (cluster.ColorOnChart == Colors.White)
{
cluster.SetColor();
}
foreach (DataPoint point in cluster.Points)
{
point.ChartPoint = ToChartPoint(point);
}
}
int listcounter = 0;
foreach (Cluster cluster in dataClustering.Clusters)
{
pointsDrawingList.Add(new GeometryDrawing());
pointsGeometryList.Add(new GeometryGroup());
foreach (DataPoint point in cluster.Points)
{
pointsGeometryList[listcounter].Children.Add(new EllipseGeometry(point.ChartPoint, 3, 3));
}
pointsDrawingList[listcounter].Geometry = pointsGeometryList[listcounter];
pointsDrawingList[listcounter].Brush = new SolidColorBrush(cluster.ColorOnChart);
pointsDrawingList[listcounter].Pen = new Pen(Brushes.Black, 1);
pointsDrawingList[listcounter].Freeze();
drawingGroup.Children.Add(pointsDrawingList[listcounter]);
listcounter++;
}
//centroidy
DataClustering tmp = dataClustering as KMeans;
if (tmp != null)
{
pointsDrawingList.Add(new GeometryDrawing());
pointsGeometryList.Add(new GeometryGroup());
foreach (Cluster cluster in dataClustering.Clusters)
{
cluster.Centroid.ChartPoint = ToChartPoint(cluster.Centroid);
pointsGeometryList[listcounter].Children.Add(new LineGeometry(new Point(cluster.Centroid.ChartPoint.X - 5, cluster.Centroid.ChartPoint.Y - 5), new Point(cluster.Centroid.ChartPoint.X + 5, cluster.Centroid.ChartPoint.Y + 5)));
pointsGeometryList[listcounter].Children.Add(new LineGeometry(new Point(cluster.Centroid.ChartPoint.X - 5, cluster.Centroid.ChartPoint.Y + 5), new Point(cluster.Centroid.ChartPoint.X + 5, cluster.Centroid.ChartPoint.Y - 5)));
}
pointsDrawingList[listcounter].Geometry = pointsGeometryList[listcounter];
pointsDrawingList[listcounter].Brush = new SolidColorBrush(Colors.Black);
pointsDrawingList[listcounter].Pen = new Pen(Brushes.Black, 1);
drawingGroup.Children.Add(pointsDrawingList[listcounter]);
}
}
private void NextStepButton_Click(object sender, RoutedEventArgs e)
{
if (!dataClustering.Finished)
{
dataClustering.ClusteringStep();
DataClustering hierarchical = dataClustering as Hierarchical;
//if (hierarchical != null)
//WriteToFile.Algorithm(dataClustering);
DrawAndDisplay();
}
//if (dataClustering.Finished)
//{
// NextStepButton.Visibility = Visibility.Collapsed;
// SkipButton.Visibility = Visibility.Collapsed;
//}
}
void DrawStart()
{
MyColors.Counter = 0;
GeometryGroup coordinates = new GeometryGroup();
coordinates.Children.Add(new LineGeometry(new Point(0, 600), new Point(620, 600)));
coordinates.Children.Add(new LineGeometry(new Point(20, 0), new Point(20, 620)));
coordinates.Children.Add(new LineGeometry(new Point(620, 600), new Point(615, 595)));
coordinates.Children.Add(new LineGeometry(new Point(620, 600), new Point(615, 605)));
coordinates.Children.Add(new LineGeometry(new Point(20, 0), new Point(25, 5)));
coordinates.Children.Add(new LineGeometry(new Point(20, 0), new Point(15, 5)));
Point from, to;
for (int i = 0; i < 600; i += 25)
{
from = ToChartPoint(-5, i);
to = ToChartPoint(0, i);
coordinates.Children.Add(new LineGeometry(from, to));
from = ToChartPoint(i, 0);
to = ToChartPoint(i, -5);
coordinates.Children.Add(new LineGeometry(from, to));
}
coordinatesDrawing.Geometry = coordinates;
coordinatesDrawing.Brush = new SolidColorBrush(Colors.Black);
coordinatesDrawing.Pen = new Pen(Brushes.Black, 1);
coordinatesDrawing.Freeze();
drawingGroup.Children.Add(coordinatesDrawing);
DataClustering data = dataClustering as Hierarchical;
if (data == null)
{
SkipButton.Visibility = Visibility.Collapsed;
HowManyToSkipTextBox.Visibility = Visibility.Collapsed;
}
}
public static void Algorithm(DataClustering clustering)
{
DataClustering[] algorithms = { clustering as KMeans,
clustering as JarvisPatrick,
clustering as SingleLinkageHierarchical,
clustering as AverageLinkageHierarchical,
clustering as CompleteLinkageHierarchical,
clustering as Hierarchical };
using (StreamWriter sw = File.AppendText(Path))
{
if (algorithms[0] != null)
{
sw.WriteLine("Algorytm k-średnich");
}
else if (algorithms[1] != null)
{
sw.WriteLine("Algorytm Jarvisa-Patricka");
}
else if (algorithms[1] != null)
{
sw.WriteLine("Algorytm hierarchiczny aglomeracyjny z miarą odległości single-linkage");
}
else if (algorithms[1] != null)
{
sw.WriteLine("Algorytm hierarchiczny aglomeracyjny z miarą odległości average-linkage");
}
else
{
sw.WriteLine("Algorytm hierarchiczny aglomeracyjny z miarą odległości complete-linkage");
}
int index = 0;
if (algorithms[5] == null)
{
foreach (Cluster cluster in clustering.Clusters)
{
sw.WriteLine("Cluster {0}:", index++);
if (algorithms[0] != null)
{
sw.Write("Centroid: ");
foreach (double number in cluster.Centroid.Coordinates)
{
sw.Write("{0} ", number);
}
sw.WriteLine();
}
sw.Write("Points:");
foreach (DataPoint point in cluster.Points)
{
sw.Write("[{0}] ", point.Index);
}
sw.WriteLine();
}
}
else
{
int iterCounter = 0;
Hierarchical hierarchical = (Hierarchical)clustering;
foreach (List <Cluster> list in hierarchical.clusterHistory)
{
sw.WriteLine("Iteracja: {0}", iterCounter);
foreach (Cluster cluster in list)
{
sw.WriteLine("Cluster {0}:", index++);
sw.Write("Points:");
foreach (DataPoint point in cluster.Points)
{
sw.Write("[{0}] ", point.Index);
}
sw.WriteLine();
}
sw.WriteLine();
index = 0;
iterCounter++;
}
}
sw.WriteLine();
sw.WriteLine();
}
}
