/*******************************************************************************
* 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.plot.Palette;
import smile.plot.PlotCanvas;
import smile.clustering.CLARANS;
import smile.math.distance.EuclideanDistance;
import smile.plot.ScatterPlot;
/**
*
* @author Haifeng Li
*/
@SuppressWarnings("serial")
public class CLARANSDemo extends ClusteringDemo {
private static final String ERROR = "Error";
JTextField numLocalField;
int numLocal = 10;
JTextField maxNeighborField;
int maxNeighbor = 20;
public CLARANSDemo() {
numLocalField = new JTextField(Integer.toString(numLocal), 5);
maxNeighborField = new JTextField(Integer.toString(maxNeighbor), 5);
optionPane.add(new JLabel("NumLocal:"));
optionPane.add(numLocalField);
optionPane.add(new JLabel("MaxNeighbor:"));
optionPane.add(maxNeighborField);
}
@Override
public JComponent learn() {
try {
numLocal = Integer.parseInt(numLocalField.getText().trim());
if (numLocal < 5) {
JOptionPane.showMessageDialog(this, "Toll smal NumLocal: " + numLocal, ERROR, JOptionPane.ERROR_MESSAGE);
return null;
}
} catch (Exception e) {
JOptionPane.showMessageDialog(this, "Invalid NumLocal: " + numLocalField.getText(), ERROR, JOptionPane.ERROR_MESSAGE);
return null;
}
try {
maxNeighbor = Integer.parseInt(maxNeighborField.getText().trim());
if (maxNeighbor < 5) {
JOptionPane.showMessageDialog(this, "Too small MaxNeighbor: " + maxNeighbor, ERROR, JOptionPane.ERROR_MESSAGE);
return null;
}
} catch (Exception e) {
JOptionPane.showMessageDialog(this, "Invalid MaxNeighbor: " + maxNeighborField.getText(), ERROR, JOptionPane.ERROR_MESSAGE);
return null;
}
long clock = System.currentTimeMillis();
CLARANS clarans = new CLARANS<>(dataset[datasetIndex], new EuclideanDistance(), clusterNumber, maxNeighbor, numLocal);
System.out.format("CLARANS clusterings %d samples in %dms\n", dataset[datasetIndex].length, System.currentTimeMillis()-clock);
PlotCanvas plot = ScatterPlot.plot(clarans.medoids(), '@');
for (int k = 0; k < clusterNumber; k++) {
if (clarans.getClusterSize()[k] > 0) {
double[][] cluster = new double[clarans.getClusterSize()[k]][];
for (int i = 0, j = 0; i < dataset[datasetIndex].length; i++) {
if (clarans.getClusterLabel()[i] == k) {
cluster[j++] = dataset[datasetIndex][i];
}
}
plot.points(cluster, pointLegend, Palette.COLORS[k % Palette.COLORS.length]);
}
}
plot.points(clarans.medoids(), '@');
return plot;
}
@Override
public String toString() {
return "CLARANS";
}
public static void main(String argv[]) {
ClusteringDemo demo = new CLARANSDemo();
JFrame f = new JFrame("CLARANS");
f.setSize(new Dimension(1000, 1000));
f.setLocationRelativeTo(null);
f.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
f.getContentPane().add(demo);
f.setVisible(true);
}
}
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