public void SpeciateAdd_Euclidean()
{
IRandomSource rng = RandomDefaults.CreateRandomSource(3);
var distanceMetric = new EuclideanDistanceMetric();
var speciationStrategy = new RegularizedGeneticKMeansSpeciationStrategy <double>(distanceMetric, 50, 0.1);
TestSpeciateAdd(100, 3, 2, 0.5, distanceMetric, speciationStrategy, rng, false);
TestSpeciateAdd(100, 10, 10, 0.2, distanceMetric, speciationStrategy, rng, false);
TestSpeciateAdd(100, 30, 10, 0.1, distanceMetric, speciationStrategy, rng, false);
}
public void TestSpeciateAll_Manhattan()
{
IRandomSource rng = RandomDefaults.CreateRandomSource(0);
var distanceMetric = new ManhattanDistanceMetric();
var speciationStrategy = new RegularizedGeneticKMeansSpeciationStrategy <double>(distanceMetric, 50, 0.1, RandomDefaults.CreateRandomSource());
TestSpeciateAll(100, 3, 2, 0.5, distanceMetric, speciationStrategy, rng, false);
TestSpeciateAll(100, 10, 10, 0.2, distanceMetric, speciationStrategy, rng, false);
TestSpeciateAll(100, 30, 10, 0.1, distanceMetric, speciationStrategy, rng, false);
}
