Package jmt.engine.jwat.workloadAnalysis.clustering.kMean

Examples of jmt.engine.jwat.workloadAnalysis.clustering.kMean.MainKMean.start()

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          MainKMean eng = new MainKMean(new ProgressMonitorShow(parent, "Processing...", 1), model.getMatrix(), parent.getVarSelected(),
          //numClust.getValue(),
              //numIteration.getValue(),
              ((Integer) numOfClust.getValue()).intValue(), ((Integer) numOfIter.getValue()).intValue(), trasf);
          eng.addStatusListener(lst);
          eng.start();
          ((JWatWizard) parent.getParentWizard()).setEnableButton("Solve", false);
        } else {
          JOptionPane.showMessageDialog(parent, "Select at least two variables to proceed with clustering", "Warning",
              JOptionPane.WARNING_MESSAGE);
        }
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          MainKMean eng = new MainKMean(new ProgressMonitorShow(parent, "Processing...", 1), model.getMatrix(), parent.getVarSelected(),
          //numClust.getValue(),
              //numIteration.getValue(),
              ((Integer) numOfClust.getValue()).intValue(), ((Integer) numOfIter.getValue()).intValue(), trasf);
          eng.addStatusListener(lst);
          eng.start();
          ((JWatWizard) parent.getParentWizard()).setEnableButton("Solve", false);
        } else {
          JOptionPane.showMessageDialog(parent, "Select at least two variables to proceed with clustering", "Warning",
              JOptionPane.WARNING_MESSAGE);
        }
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