public List<String[]> findPoints(Cluster data, List<AttributeCluster> attrbs) {
List<String[]> list = new ArrayList<String[]>();
for (int i = 0; i < data.size(); i++) {
list.add(getPoints(attrbs, data.getRecords().get(i)));
}
return list;
}
/**
* Add points from cluster to Bisect Cluster data model
*
* @param bisect
* @param data
*/
public void addClusterPoints(BisectCluster bisect, Cluster data) {
CluseterList list = new CluseterList();
list.addCluster(bisect.getC1());
list.addCluster(bisect.getC2());
list.clearsClusterPoints();
for (int i = 0; i < data.size(); i++) {
int temp =
findClosestClusterAndAddPoint(
list, getPoints(data.getAttributes(), data.getRecords().get(i)));
list.getClusterAt(temp).addPoints(data.getRecords().get(i));
}
calculateSSEForCluster(bisect.getC1());
// System.out.println(bisect.getC1().getSSE());
calculateSSEForCluster(bisect.getC2());
bisect.setTotalSSE(bisect.getC1().getSSE() + bisect.getC2().getSSE());
}
/**
* Calculates SSE
*
* @param cluster
*/
public void calculateSSEForCluster(Cluster cluster) {
double SSE = 0.0;
for (int i = 0; i < cluster.size(); i++) {
double temp =
findEucleideanDistance(
cluster.getCentroid().getAttrList(),
getPoints(cluster.getAttributes(), cluster.getRecords().get(i)));
SSE += temp * temp;
}
cluster.setSSE(SSE);
}
