public void CalculateClusterContents()
{
bool exit = false;
int iteration = 0;
while (!exit)
{
foreach (Cluster cluster in clusters)
{
cluster.Clear();
}
ArrayList lastCentroids = GetCentroids();
DeterminePointsInCluster();
SetClusters();
iteration++;
ArrayList currentCentroids = GetCentroids();
iteration++;
double distance = 0;
for (int i = 0; i < lastCentroids.Count; i++)
{
distance += Point.EuclideanDistance(((Point)lastCentroids[i]), ((Point)currentCentroids[i]));
}
ClusterIO.WriteClusters(numberOfClusters, clusters, iteration, distance);
if (distance == 0)
{
exit = true;
}
}
}
public void PlantSeeds()
{
Random random = new Random();
for (int i = 0; i < numberOfClusters; i++)
{
Cluster cluster = new Cluster(i);
Point centroid = new Point(2 * random.Next(minimumCoord, 15), random.Next(0, maximumCoord * random.Next(0, 3)));
cluster.centroid = centroid;
clusters.Add(cluster);
}
ClusterIO.WriteClusters(numberOfClusters, clusters, 0, 0);
}
public void DetermineOutliers()
{
foreach (Cluster cluster in clusters)
{
points = cluster.GetPoints();
for (int i = 0; i < points.Count; i++)
{
if (Point.EuclideanDistance((Point)points[i], cluster.centroid) > clusterThreshold)
{
outliers.Add(points[i]);
points.Remove(points[i]);
}
}
}
ClusterIO.WriteClusters(numberOfClusters, clusters, 0, 0);
ClusterIO.WriteOutliers(outliers);
}
