clusteringinfopanel.java

一个用于排队系统仿真的开源软件,有非常形象的图象仿真过程!

package jmt.engine.jwat.workloadAnalysis.panels;

import java.awt.BorderLayout;
import java.awt.Color;
import java.awt.Dimension;
import java.awt.Font;
import java.awt.GridLayout;
import java.awt.event.ActionEvent;
import java.util.Vector;

import javax.swing.AbstractAction;
import javax.swing.Action;
import javax.swing.BorderFactory;
import javax.swing.Box;
import javax.swing.ImageIcon;
import javax.swing.JButton;
import javax.swing.JLabel;
import javax.swing.JOptionPane;
import javax.swing.JPanel;
import javax.swing.JScrollPane;
import javax.swing.JTabbedPane;
import javax.swing.JTable;
import javax.swing.ListSelectionModel;
import javax.swing.event.ListSelectionEvent;
import javax.swing.event.ListSelectionListener;
import javax.swing.event.TableModelEvent;
import javax.swing.table.AbstractTableModel;
import javax.swing.table.TableCellEditor;
import javax.swing.table.TableCellRenderer;

import jmt.engine.jwat.workloadAnalysis.chart.DispFuzzyMatrix;
import jmt.engine.jwat.workloadAnalysis.chart.DispKMeanMatrix;
import jmt.engine.jwat.workloadAnalysis.clustering.Clustering;
import jmt.engine.jwat.workloadAnalysis.clustering.fuzzyKMean.ClusteringInfosFuzzy;
import jmt.engine.jwat.workloadAnalysis.clustering.fuzzyKMean.FuzzyKMean;
import jmt.engine.jwat.workloadAnalysis.clustering.fuzzyKMean.panels.DispersionFuzzyPanel;
import jmt.engine.jwat.workloadAnalysis.clustering.fuzzyKMean.panels.FuzzyInfoCluster;
import jmt.engine.jwat.workloadAnalysis.clustering.fuzzyKMean.panels.FuzzyInfoClustering;
import jmt.engine.jwat.workloadAnalysis.clustering.kMean.ClusteringInfosKMean;
import jmt.engine.jwat.workloadAnalysis.clustering.kMean.KMean;
import jmt.engine.jwat.workloadAnalysis.clustering.kMean.panels.DispersionkMeanPanel;
import jmt.engine.jwat.workloadAnalysis.clustering.kMean.panels.KMeansInfoCluster;
import jmt.engine.jwat.workloadAnalysis.clustering.kMean.panels.KMeansInfoClustering;
import jmt.engine.jwat.workloadAnalysis.utils.ModelWorkloadAnalysis;
import jmt.engine.jwat.workloadAnalysis.wizard.WorkloadAnalysisWizard;
import jmt.gui.common.CommonConstants;
import jmt.gui.common.resources.ImageLoader;
import jmt.gui.help.HoverHelp;
import jmt.gui.jsim.editors.ButtonCellEditor;
import jmt.gui.jwat.JWATConstants;
import jmt.gui.wizard.WizardPanel;

public class ClusteringInfoPanel extends WizardPanel implements CommonConstants,JWATConstants {
	
	private final String CLUSTERING_INFO_DESCRIPTION = HTML_START
	+ HTML_FONT_TITLE + "Clustering information" + HTML_FONT_TIT_END + HTML_FONT_NORM
	+ "Select a clustering from Clustering table, cluster partition from the Cluster table and see statistics and graphs of the algorithm result" + HTML_FONT_NOR_END
	+ HTML_END;
	private ModelWorkloadAnalysis model;
	
	private JTable clusteringTable;
	private JTable clusterTable;
	
	private JTabbedPane tabbed;
	
	private boolean changedType = false;
	
	private DispKMeanMatrix matrix;
	private DispFuzzyMatrix matrix2;
	private JPanel clusingP;
	private JPanel clustP;
	private JPanel matrixPanel;
	private JPanel cluster = new JPanel(new BorderLayout(0,5));
	
	protected AbstractAction deleteVar = new AbstractAction("") {
		{
			putValue(Action.SHORT_DESCRIPTION, "Delete");
			putValue(Action.SMALL_ICON, ImageLoader.loadImage("Delete"));
		}

		public void actionPerformed(ActionEvent arg0) {
			if(clusteringTable.getSelectedRow() >= 0){
				model.removeClustering(clusteringTable.getSelectedRow());
				clusteringTable.tableChanged(new TableModelEvent(clusteringTable.getModel()));
				//Non ci sono pi