public KMeansClusterFactory(ClusterDataSourceSettings settings, IClusterMergeStrategy mergeStrategy, IntSize size)
{
this.settings = settings;
this.mergeStrategy = mergeStrategy;
this.algorithm = new KMeans(this.settings.ClusterCount, settings.DepthRange, size);
this.value = new ClusterCollection();
}
public KMeansClusterFactory(ClusterDataSourceSettings settings, IClusterMergeStrategy mergeStrategy, IntSize size)
{
this.settings = settings;
this.mergeStrategy = mergeStrategy;
this.algorithm = new KMeans(this.settings.ClusterCount, settings.DepthRange, size);
this.value = new ClusterCollection();
}
private void FindClusters(IList<Point> pointList)
{
this.InitializeAlgorithm(pointList);
this.algorithm.IterateUntilStable();
if (this.algorithm.ClusterCount > 0) {
var prototypes = this.FlattenIfRequired(this.MergeClustersIfRequired(this.algorithm.Clusters));
this.value = new ClusterCollection(prototypes.Select(p => p.ToCluster()).ToList());
}
}
private void FindClusters(IList <Point> pointList)
{
this.InitializeAlgorithm(pointList);
this.algorithm.IterateUntilStable();
if (this.algorithm.ClusterCount > 0)
{
var prototypes = this.FlattenIfRequired(this.MergeClustersIfRequired(this.algorithm.Clusters));
this.value = new ClusterCollection(prototypes.Select(p => p.ToCluster()).ToList());
}
}
public ClusterCollection Create(IList<Point> points)
{
var reducedPoints = this.ReducePoints(points);
if (this.AreEnoughPointsForClustering(reducedPoints.Count)) {
this.FindClusters(reducedPoints);
this.AssignAllPoints(points);
} else {
this.value = new ClusterCollection();
}
return this.value;
}
public ShapeCollection Create(ClusterCollection clusterData)
{
var result = new ShapeCollection();
foreach (var cluster in clusterData.Clusters) {
var convexHull = new GrahamScan(cluster.Points).FindHull();
var map = CreateMap(cluster);
var contour = CreateContour(map, cluster);
if (contour.Count >= settings.MinimalPointsInContour) {
result.Shapes.Add(new Shape(cluster.Center, cluster.Volume, contour, convexHull, cluster.Points));
}
}
return result;
}
public ClusterCollection Create(IList <Point> points)
{
var reducedPoints = this.ReducePoints(points);
if (this.AreEnoughPointsForClustering(reducedPoints.Count))
{
this.FindClusters(reducedPoints);
this.AssignAllPoints(points);
}
else
{
this.value = new ClusterCollection();
}
return(this.value);
}
private void ClusterDataSource_NewDataAvailable(ClusterCollection data)
{
// todo
}
private void dataSource_NewDataAvailable(ClusterCollection clusters)
{
this.Dispatcher.Invoke(new Action(() => InvalidateVisual()));
}
