private void ClassifyCase(Classification <UnsignedPoint, string> expectedClusters, double acceptableBCubed = 0.99)
{
var maxCoordinate = expectedClusters.Points().Select(p => p.MaxCoordinate).Max();
var bitsPerDimension = ((int)maxCoordinate).SmallestPowerOfTwo();
var classifier = new HilbertClassifier(expectedClusters.Points(), bitsPerDimension);
classifier.IndexConfig.UseSample = true;
var actualClusters = classifier.Classify();
var comparison = expectedClusters.Compare(actualClusters);
var message = $" Comparison of clusters: {comparison}.\n Clusters expected/actual: {expectedClusters.NumPartitions}/{actualClusters.NumPartitions}.";
Console.WriteLine(message);
Console.WriteLine($" Large clusters: {actualClusters.NumLargePartitions(classifier.OutlierSize)}");
Assert.GreaterOrEqual(comparison.BCubed, acceptableBCubed, $"Clustering was not good enough. BCubed = {comparison.BCubed}");
}
