public void Sample10KTest()
{
var clusterizer = new KMeansPPClusterizer <ClusterableVector>(defaultCentroidCount,
GetVectorsFromFile(projectDirectory + "\\samples\\sample2.txt"),
Metrics.Euclidian);
Assert.IsNotNull(clusterizer.GetClusters());
double negSilhouetteCoeffPercent;
Assert.IsTrue(clusterizer.PerformSilhouetteAnalysis(out negSilhouetteCoeffPercent));
Assert.IsTrue(negSilhouetteCoeffPercent < acceptableNegSilhouetteCoeffPercent);
}
public void MarginalArgsTest()
{
ClusterableVector[] defaultVectorCollection = new ClusterableVector[defaultCentroidCount];
for (int i = 0; i < defaultVectorCollection.Length; i++)
{
defaultVectorCollection[i] = new ClusterableVector(new double[] { (double)i });
}
var clusterizer1 = new KMeansPPClusterizer <ClusterableVector>(1, defaultVectorCollection, Metrics.Euclidian);
Assert.IsNotNull(clusterizer1.GetClusters());
ClusterableVector[] trivialVectorCollection = new ClusterableVector[defaultCentroidCount];
for (int i = 0; i < trivialVectorCollection.Length; i++)
{
trivialVectorCollection[i] = new ClusterableVector(new double[] { 1.0 });
}
var clusterizer2 = new KMeansPPClusterizer <ClusterableVector>(defaultCentroidCount, trivialVectorCollection, Metrics.Euclidian);
Assert.IsNotNull(clusterizer2.GetClusters());
}
