/**
* Calculate the cluster size or diameter
*
* @param c cluster
* @return cluster size or diameter
*/
private double calculateClusterSize(Cluster c) {
double size = 0;
ArrayList<Integer> clusterPoints = c.getPointsIDs();
for (int i = 0; i < clusterPoints.size(); i++) {
DatasetPattern point1 = this.dataset.get(clusterPoints.get(i));
for (int j = 0; j < clusterPoints.size(); j++) {
if (i == j) continue;
DatasetPattern point2 = this.dataset.get(clusterPoints.get(j));
size += EuclideanDistance.calculateDistance(point1, point2);
}
}
return size / (clusterPoints.size() * (clusterPoints.size() - 1));
}
/**
* calculate the minimum distance between two clusters
*
* @param ci cluster ci
* @param cj cluster cj
* @return min distance between ci and cj
*/
private double calculateMinDistanceBetweenTwoClusters(Cluster ci, Cluster cj) {
double minDist = 0;
ArrayList<Integer> ciPoints = ci.getPointsIDs();
ArrayList<Integer> cjPoints = cj.getPointsIDs();
for (int i = 0; i < ciPoints.size(); i++) {
DatasetPattern ciPoint = this.dataset.get(ciPoints.get(i));
for (int j = 0; j < cjPoints.size(); j++) {
DatasetPattern cjPoint = this.dataset.get(cjPoints.get(j));
double distance = EuclideanDistance.calculateDistance(ciPoint, cjPoint);
minDist += distance;
}
}
return minDist / ((ciPoints.size() - 1) * (cjPoints.size() * 1));
}
