/// <summary>
/// Builds the dissimilarity matrix.
/// </summary>
private void BuildDissimilarityMatrix()
{
_dissimilarityMatrix = new DissimilarityMatrix();
for (int i = 0; i < _clusters.Count - 1; i++)
{
for (int j = i + 1; j < _clusters.Count; j++)
{
var clusterPair = new ClusterPair(_clusters.GetCluster(i), _clusters.GetCluster(j));
var distanceBetweenTwoClusters = ClusterDistance.ComputeDistance(clusterPair.Cluster1, clusterPair.Cluster2, _distanceMetric);
_dissimilarityMatrix.AddClusterPairAndDistance(clusterPair, distanceBetweenTwoClusters); // adds distance to matrix
}
}
}
/// <summary>
/// Updates the dissimilarity matrix after adding new cluster to matrix.
/// </summary>
/// <param name="newCluster">The new cluster.</param>
private void _UpdateDissimilarityMatrix(Cluster newCluster)
{
for (int i = 0; i < _clusters.Count; i++)
{
// distance between newCluster and one of the _clusters one
var distanceBetweenClusters = ClusterDistance.ComputeDistance(_clusters.GetCluster(i), newCluster, _dissimilarityMatrix, _strategy);
_dissimilarityMatrix.AddClusterPairAndDistance(new ClusterPair(newCluster, _clusters.GetCluster(i)), distanceBetweenClusters); // adds distane to matrix
// removes old cluster distance because they are useless
_dissimilarityMatrix.RemoveClusterPair(new ClusterPair(newCluster.GetSubCluster(0), _clusters.GetCluster(i)));
_dissimilarityMatrix.RemoveClusterPair(new ClusterPair(newCluster.GetSubCluster(1), _clusters.GetCluster(i)));
}
// remove the distance of the the initial cluster subclusters
_dissimilarityMatrix.RemoveClusterPair(new ClusterPair(newCluster.GetSubCluster(0), newCluster.GetSubCluster(1)));
}
