public ClusterNodeCollection ExecuteClustering(ClusterDistance.Strategy strategy, int k)
{
nodeCollection.BuildSingletonCluster(leafCollection);
dissimilarityMatrix = new DissimilarityMatrix();
foreach (ClusterNodePair clusterPair in GetClusterPairCollection())
{
double distanceBetweenTwoClusters = ClusterDistance.ComputeLeafDistance(clusterPair.Cluster1, clusterPair.Cluster2);
dissimilarityMatrix.AddClusterPairAndDistance(clusterPair, distanceBetweenTwoClusters);
}
BuildHierarchicalClustering(nodeCollection.Count, strategy, k);
return(nodeCollection);
}
private void UpdateDissimilarityMatrix(ClusterNode newNode, ClusterDistance.Strategy strategie)
{
ClusterNode node1 = newNode.NodeAt(0);
ClusterNode node2 = newNode.NodeAt(1);
for (int i = 0; i < nodeCollection.Count; i++)
{
ClusterNode node = nodeCollection.ElementAt(i);
double distanceBetweenClusters = ClusterDistance.ComputeNodeDistance(node, newNode, dissimilarityMatrix, strategie);
dissimilarityMatrix.AddClusterPairAndDistance(new ClusterNodePair(newNode, node), distanceBetweenClusters);
dissimilarityMatrix.RemoveClusterPair(new ClusterNodePair(node1, node));
dissimilarityMatrix.RemoveClusterPair(new ClusterNodePair(node2, node));
}
dissimilarityMatrix.RemoveClusterPair(new ClusterNodePair(node1, node2));
}
