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); }