public Cluster[] apply(Matrix<double> objCoords, int K, double[] weights)
{
Cluster[] clusters;
EuclideanDistMXComputer distMXComp = new EuclideanDistMXComputer();
ClusteringManagementUtils utils = new ClusteringManagementUtils();
InitialMedoidsSelection initMedoidsSelection = new InitialMedoidsSelection(utils);
MedoidsUpdater medoidsUpdater = new MedoidsUpdater();
ObjectsAssigner objectsAssigner = new ObjectsAssigner(utils);
Matrix<double> distanceMX = distMXComp.determineEuclideanDistMX(objCoords);
//Matrix<double> distanceMX = distMXComp.determineWeightedEuclideanDistMX(objCoords, weights);
double currentTotalCost;
initMedoidsSelection.selectInitialMedoids(distanceMX, K, out clusters, out currentTotalCost);
double newTotalCost = currentTotalCost;
bool firstIter = true;
do
{
if (firstIter)
{
firstIter = false;
}
else
{
currentTotalCost = newTotalCost;
}
medoidsUpdater.updateMedoids(K, clusters);
newTotalCost = objectsAssigner.assignObjsToClusters(distanceMX, K, clusters);
} while (newTotalCost < currentTotalCost);
return clusters;
}
public ObjectsAssigner(ClusteringManagementUtils utils)
{
this.utils = utils;
}
public InitialMedoidsSelection(ClusteringManagementUtils utils)
{
this.utils = utils;
}