/*******************************************************************************
* 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 java.awt.GridLayout;
import javax.swing.JComponent;
import javax.swing.JFrame;
import javax.swing.JLabel;
import javax.swing.JOptionPane;
import javax.swing.JPanel;
import javax.swing.JTextField;
import smile.plot.Palette;
import smile.plot.PlotCanvas;
import smile.clustering.DBScan;
import smile.math.distance.EuclideanDistance;
import smile.plot.ScatterPlot;
/**
*
* @author Haifeng Li
*/
@SuppressWarnings("serial")
public class DBScanDemo extends ClusteringDemo {
JTextField minPtsField;
JTextField rangeField;
int minPts = 10;
double range = 10;
public DBScanDemo() {
// Remove K TextFile
optionPane.remove(optionPane.getComponentCount() - 1);
optionPane.remove(optionPane.getComponentCount() - 1);
minPtsField = new JTextField(Integer.toString(minPts), 5);
optionPane.add(new JLabel("MinPts:"));
optionPane.add(minPtsField);
rangeField = new JTextField(Double.toString(range), 5);
optionPane.add(new JLabel("Range:"));
optionPane.add(rangeField);
}
@Override
public JComponent learn() {
try {
minPts = Integer.parseInt(minPtsField.getText().trim());
if (minPts < 1) {
JOptionPane.showMessageDialog(this, "Invalid MinPts: " + minPts, "Error", JOptionPane.ERROR_MESSAGE);
return null;
}
} catch (Exception e) {
JOptionPane.showMessageDialog(this, "Invalid MinPts: " + minPtsField.getText(), "Error", JOptionPane.ERROR_MESSAGE);
return null;
}
try {
range = Double.parseDouble(rangeField.getText().trim());
if (range <= 0) {
JOptionPane.showMessageDialog(this, "Invalid Range: " + range, "Error", JOptionPane.ERROR_MESSAGE);
return null;
}
} catch (Exception e) {
JOptionPane.showMessageDialog(this, "Invalid range: " + rangeField.getText(), "Error", JOptionPane.ERROR_MESSAGE);
return null;
}
long clock = System.currentTimeMillis();
DBScan dbscan = new DBScan<>(dataset[datasetIndex], new EuclideanDistance(), minPts, range);
System.out.format("DBSCAN clusterings %d samples in %dms\n", dataset[datasetIndex].length, System.currentTimeMillis()-clock);
JPanel pane = new JPanel(new GridLayout(1, 2));
PlotCanvas plot = ScatterPlot.plot(dataset[datasetIndex], pointLegend);
for (int k = 0; k < dbscan.getNumClusters(); k++) {
double[][] cluster = new double[dbscan.getClusterSize()[k]][];
for (int i = 0, j = 0; i < dataset[datasetIndex].length; i++) {
if (dbscan.getClusterLabel()[i] == k) {
cluster[j++] = dataset[datasetIndex][i];
}
}
plot.points(cluster, pointLegend, Palette.COLORS[k % Palette.COLORS.length]);
}
pane.add(plot);
return pane;
}
@Override
public String toString() {
return "DBScan";
}
public static void main(String argv[]) {
ClusteringDemo demo = new DBScanDemo();
JFrame f = new JFrame("DBScan");
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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