/// <summary>
/// Perform an Hierarchical clustering on each plate independantely
/// </summary>
/// <param name="CurrentPlateToProcess">the plate to process</param>
/// <param name="ClassNumber">Number of class</param>
private void ClusteringHierarchicalSinglePlate(cPlate CurrentPlateToProcess, int ClassNumber)
{
weka.core.Instances Ninsts = CurrentPlateToProcess.CreateInstancesWithoutClass();
weka.clusterers.HierarchicalClusterer HClusterer = new HierarchicalClusterer();
//string OptionDistance = " -A \"weka.core.";
string OptionDistance = " -A \"";
switch (cGlobalInfo.OptionsWindow.comboBoxHierarchicalDistance.SelectedIndex)
{
case 0:
OptionDistance += "EuclideanDistance";
break;
case 1:
OptionDistance += "ManhattanDistance";
break;
case 2:
OptionDistance += "ChebyshevDistance";
break;
default:
break;
}
OptionDistance += " -R first-last\"";
string[] TAGS_LINK_TYPE = { "SINGLE", "COMPLETE", "AVERAGE", "MEAN", "CENTROID", "WARD", "ADJCOMPLETE" };
string WekaOption = "-L " + TAGS_LINK_TYPE[cGlobalInfo.OptionsWindow.comboBoxHierarchicalLinkType.SelectedIndex];// + OptionDistance;
HClusterer.setOptions(weka.core.Utils.splitOptions(WekaOption));
//EuclideanDistance2 Dist2 = new EuclideanDistance2();
//HClusterer.setDistanceFunction(Dist2);
HClusterer.setNumClusters(ClassNumber);
HClusterer.buildClusterer(Ninsts);
richTextBoxInfoClustering.AppendText("\n" + CurrentPlateToProcess.GetName() + ": " + HClusterer.numberOfClusters() + " cluster(s)");
ClusterEvaluation eval = new ClusterEvaluation();
eval.setClusterer(HClusterer);
eval.evaluateClusterer(Ninsts);
CurrentPlateToProcess.AssignClass(eval.getClusterAssignments());
}
/// <summary>
/// perform an Hierarchical clustering over the entire screening data
/// </summary>
/// <param name="ClassNumber"></param>
private void ClusteringHierarchicalGlobalScreen(int ClassNumber)
{
weka.core.Instances Ninsts = CompleteScreening.CreateInstancesWithoutClass();
weka.clusterers.HierarchicalClusterer HClusterer = new HierarchicalClusterer();
string OptionDistance = " -A \"weka.core.";
switch (GlobalInfo.OptionsWindow.comboBoxHierarchicalDistance.SelectedIndex)
{
case 0:
OptionDistance += "EuclideanDistance";
break;
case 1:
OptionDistance += "ManhattanDistance";
break;
case 2:
OptionDistance += "ChebyshevDistance";
break;
default:
break;
}
OptionDistance += " -R first-last\"";
string[] TAGS_LINK_TYPE = { "SINGLE", "COMPLETE", "AVERAGE", "MEAN", "CENTROID", "WARD", "ADJCOMPLETE" };
string WekaOption = "-L " + TAGS_LINK_TYPE[GlobalInfo.OptionsWindow.comboBoxHierarchicalLinkType.SelectedIndex] + OptionDistance;
HClusterer.setOptions(weka.core.Utils.splitOptions(WekaOption));
HClusterer.setNumClusters(ClassNumber);
HClusterer.buildClusterer(Ninsts);
richTextBoxInfoClustering.AppendText("\n" + HClusterer.numberOfClusters() + " cluster(s) identified");
ClusterEvaluation eval = new ClusterEvaluation();
eval.setClusterer(HClusterer);
eval.evaluateClusterer(Ninsts);
CompleteScreening.AssignClass(eval.getClusterAssignments());
}