/// <summary>
/// Count how many of the two clusters are outliers.
///
/// NOTE: It may be necessary to call Relabel first if any merges have occurred since this object was created,
/// since Point1 and Point2 mayh now be in different clusters than before.
/// </summary>
/// <param name="clusters">Current clustering of points.</param>
/// <param name="maxOutlierSize">Any cluster whose size does not equal or exceed this value is an outlier.</param>
/// <returns>Zero if neither cluster is an outlier, otherwise one or two.</returns>
public int CountOutliers(Classification <UnsignedPoint, TLabel> clusters, int maxOutlierSize)
{
var size1 = clusters.PointsInClass(Color1).Count;
var size2 = clusters.PointsInClass(Color2).Count;
return((size1 < maxOutlierSize ? 1 : 0) + (size2 < maxOutlierSize ? 1 : 0));
}
public RadiusMergeCandidate(
Classification <UnsignedPoint, string> clusters,
string label1,
ClusterRadius radius1,
string label2,
ClusterRadius radius2
)
{
Label1 = label1;
Point1 = clusters.PointsInClass(Label1).First();
Label2 = label2;
Point2 = clusters.PointsInClass(Label2).First();
CombinedRadius = new ClusterRadius(clusters.PointsInClass(Label1), clusters.PointsInClass(Label2));
Shrinkage = CombinedRadius.Shrinkage(radius1, radius2);
}
