/// <summary>
/// Recluster the data, starting with an initial classification and further combining points into fewer clusters.
/// </summary>
void Recluster()
{
LoadData();
var classifier = new HilbertClassifier(InitialClassification, Configuration.Index.BitsPerDimension)
{
IndexConfig = Configuration.Index.Budget,
MaxNeighborsToCompare = Configuration.HilbertClassifier.MaxNeighborsToCompare,
OutlierDistanceMultiplier = Configuration.HilbertClassifier.OutlierDistanceMultiplier,
OutlierSize = Configuration.Index.Budget.OutlierSize,
UseExactClusterDistance = Configuration.HilbertClassifier.UseExactClusterDistance
};
//TODO: Follow this with the DensityClassifier.
Timer.Start("Classify by distance");
FinalClassification = classifier.Classify();
Timer.Stop("Classify by distance");
MergeSquareDistance = classifier.MergeSquareDistance;
ReclassifyByDensity();
Logger.Info(Summary());
SaveData();
}
