//TODO: Use Convex Hull?
public double DistanceMetric(ClusterPrototype otherCluster)
{
var p1 = Point.FindNearestPoint(this.center, otherCluster.Points);
var p2 = Point.FindNearestPoint(otherCluster.Center, this.Points);
return(Point.Distance(p1, p2));
}
private void SetCenterRandomlyForEmptyCluster(ClusterPrototype cluster)
{
if (cluster.PointCount == 0)
{
cluster.SetCenter(this.random.Next(0, this.size.Width - 1),
this.random.Next(0, this.size.Height - 1),
this.random.Next((int)this.zRange.Min, (int)this.zRange.Max));
}
}
public IList <ClusterPrototype> MergeClustersIfRequired(IList <ClusterPrototype> clusters)
{
var clustersToIterateOver = new List <ClusterPrototype>(clusters);
foreach (var cluster in clustersToIterateOver)
{
foreach (var otherCluster in new List <ClusterPrototype>(clusters))
{
if (cluster != otherCluster && this.IsMergeRequired(cluster, otherCluster))
{
clusters.Remove(cluster);
clusters.Remove(otherCluster);
clusters.Add(ClusterPrototype.Merge(cluster, otherCluster));
}
}
}
return(clusters);
}
private bool IsMergeRequired(ClusterPrototype cluster1, ClusterPrototype cluster2)
{
return(cluster1.DistanceMetric(cluster2) < this.settings.MergeMinimumDistanceToCluster ||
Point.Distance(cluster1.Center, cluster2.Center) < this.settings.MergeMaximumClusterCenterDistances ||
Point.Distance(cluster1.Center.X, cluster1.Center.Y, cluster2.Center.X, cluster2.Center.Y) < this.settings.MergeMaximumClusterCenterDistances2D);
}
//TODO: Use Convex Hull?
public double DistanceMetric(ClusterPrototype otherCluster)
{
var p1 = Point.FindNearestPoint(this.center, otherCluster.Points);
var p2 = Point.FindNearestPoint(otherCluster.Center, this.Points);
return Point.Distance(p1, p2);
}
public static ClusterPrototype Merge(ClusterPrototype cluster1, ClusterPrototype cluster2)
{
return new ClusterPrototype(Point.Center(cluster1.Center, cluster2.Center), cluster1.points.ToList().Union(cluster2.points).ToList());
}
private void SetCenterRandomlyForEmptyCluster(ClusterPrototype cluster)
{
if (cluster.PointCount == 0) {
cluster.SetCenter(this.random.Next(0, this.size.Width - 1),
this.random.Next(0, this.size.Height - 1),
this.random.Next((int)this.zRange.Min, (int)this.zRange.Max));
}
}
private bool IsMergeRequired(ClusterPrototype cluster1, ClusterPrototype cluster2)
{
return cluster1.DistanceMetric(cluster2) < this.settings.MergeMinimumDistanceToCluster ||
Point.Distance(cluster1.Center, cluster2.Center) < this.settings.MergeMaximumClusterCenterDistances ||
Point.Distance(cluster1.Center.X, cluster1.Center.Y, cluster2.Center.X, cluster2.Center.Y) < this.settings.MergeMaximumClusterCenterDistances2D;
}
public static ClusterPrototype Merge(ClusterPrototype cluster1, ClusterPrototype cluster2)
{
return(new ClusterPrototype(Point.Center(cluster1.Center, cluster2.Center), cluster1.points.ToList().Union(cluster2.points).ToList()));
}
