public void TestKMeansClusterAlgorithmWithThreeElements()
{
var clusterer = new KMeansClusterer(new EuclideanDistanceCalculator());
var elements = new List<ClusterPoint>();
elements.Add(new ClusterPoint { X = -1, Y = -1 });
elements.Add(new ClusterPoint { X = 0, Y = 0 });
elements.Add(new ClusterPoint { X = 1, Y = 1 });
const uint expectedClusterCount = 2;
var clusters = clusterer.CreateClusters(elements, expectedClusterCount);
Assert.IsNotNull(clusters, @"The clusters must not be null!");
uint clusterCount = 0;
int expectedElementCount = elements.Count;
int elementCount = 0;
foreach (var cluster in clusters)
{
clusterCount++;
foreach (var element in cluster.Elements)
{
elementCount++;
}
}
Assert.AreEqual(expectedClusterCount, clusterCount, @"The cluster count was not expected!");
Assert.AreEqual(expectedElementCount, elementCount, @"The element count was not expected!");
}
public void TestKMeansClusterAlgorithmWithGeonamesCountryFile()
{
var clusterer = new KMeansClusterer(new EuclideanDistanceCalculator());
var elements = new ClusterPointTextFile(new FileInfo(@"data\aa.txt"), "\t", 4, 3, 1);
const uint expectedClusterCount = 10;
var clusters = clusterer.CreateClusters(elements, expectedClusterCount);
Assert.IsNotNull(clusters, @"The clusters must not be null!");
uint clusterCount = 0;
foreach (var cluster in clusters)
{
clusterCount++;
}
Assert.AreEqual(expectedClusterCount, clusterCount, @"The cluster count was not expected!");
}
public void StartClustering(IEnumerable <Vector2> points)
{
this.clusterer = new KMeansClusterer(points, this.clustersCount);
StateHasChanged();
}
