/*******************************************************************************
* Copyright (c) 2010 Haifeng Li
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*******************************************************************************/
package smile.demo.clustering;
import java.awt.Dimension;
import javax.swing.JComponent;
import javax.swing.JFrame;
import javax.swing.JLabel;
import javax.swing.JOptionPane;
import javax.swing.JTextField;
import smile.clustering.GMeans;
import smile.plot.Palette;
import smile.plot.PlotCanvas;
import smile.plot.ScatterPlot;
/**
*
* @author Haifeng Li
*/
@SuppressWarnings("serial")
public class GMeansDemo extends ClusteringDemo {
JTextField maxClusterNumberField;
int maxClusterNumber = 50;
public GMeansDemo() {
// Remove K TextFile
optionPane.remove(optionPane.getComponentCount() - 1);
optionPane.remove(optionPane.getComponentCount() - 1);
maxClusterNumberField = new JTextField(Integer.toString(maxClusterNumber), 5);
optionPane.add(new JLabel("Max K:"));
optionPane.add(maxClusterNumberField);
}
@Override
public JComponent learn() {
try {
maxClusterNumber = Integer.parseInt(maxClusterNumberField.getText().trim());
if (maxClusterNumber < 2) {
JOptionPane.showMessageDialog(this, "Invalid Max K: " + maxClusterNumber, "Error", JOptionPane.ERROR_MESSAGE);
return null;
}
} catch (Exception e) {
JOptionPane.showMessageDialog(this, "Invalid Max K: " + maxClusterNumberField.getText(), "Error", JOptionPane.ERROR_MESSAGE);
return null;
}
long clock = System.currentTimeMillis();
GMeans gmeans = new GMeans(dataset[datasetIndex], maxClusterNumber);
System.out.format("G-Means clusterings %d samples in %dms\n", dataset[datasetIndex].length, System.currentTimeMillis()-clock);
PlotCanvas plot = ScatterPlot.plot(gmeans.centroids(), '@');
for (int k = 0; k < gmeans.getNumClusters(); k++) {
if (gmeans.getClusterSize()[k] > 0) {
double[][] cluster = new double[gmeans.getClusterSize()[k]][];
for (int i = 0, j = 0; i < dataset[datasetIndex].length; i++) {
if (gmeans.getClusterLabel()[i] == k) {
cluster[j++] = dataset[datasetIndex][i];
}
}
plot.points(cluster, pointLegend, Palette.COLORS[k % Palette.COLORS.length]);
}
}
plot.points(gmeans.centroids(), '@');
return plot;
}
@Override
public String toString() {
return "G-Means";
}
public static void main(String argv[]) {
ClusteringDemo demo = new GMeansDemo();
JFrame f = new JFrame("G-Means");
f.setSize(new Dimension(1000, 1000));
f.setLocationRelativeTo(null);
f.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
f.getContentPane().add(demo);
f.setVisible(true);
}
}
Ads help maintain this website.