/*******************************************************************************
* 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.BorderLayout;
import java.awt.FlowLayout;
import java.awt.event.ActionEvent;
import java.awt.event.ActionListener;
import javax.swing.BorderFactory;
import javax.swing.JButton;
import javax.swing.JComboBox;
import javax.swing.JComponent;
import javax.swing.JLabel;
import javax.swing.JOptionPane;
import javax.swing.JPanel;
import javax.swing.JTextField;
import javax.swing.event.AncestorEvent;
import javax.swing.event.AncestorListener;
import smile.data.AttributeDataset;
import smile.data.parser.DelimitedTextParser;
import smile.plot.ScatterPlot;
@SuppressWarnings("serial")
public abstract class ClusteringDemo extends JPanel implements Runnable, ActionListener, AncestorListener {
private static final String ERROR = "Error";
private static String[] datasetName = {
"Gaussian/One", "Gaussian/Two", "Gaussian/Three",
"Gaussian/Five", "Gaussian/Six", "Gaussian/Elongate",
"NonConvex/Cross", "NonConvex/D4", "NonConvex/Face",
"NonConvex/Pie", "NonConvex/Ring", "NonConvex/Sincos",
"Chameleon/t4.8k", "Chameleon/t5.8k",
"Chameleon/t7.10k", "Chameleon/t8.8k"
};
private static String[] datasource = {
"clustering/gaussian/one.txt",
"clustering/gaussian/two.txt",
"clustering/gaussian/three.txt",
"clustering/gaussian/five.txt",
"clustering/gaussian/six.txt",
"clustering/gaussian/elongate.txt",
"clustering/nonconvex/cross.txt",
"clustering/nonconvex/d4.txt",
"clustering/nonconvex/face.txt",
"clustering/nonconvex/pie.txt",
"clustering/nonconvex/ring.txt",
"clustering/nonconvex/sincos.txt",
"clustering/chameleon/t4.8k.txt",
"clustering/chameleon/t5.8k.txt",
"clustering/chameleon/t7.10k.txt",
"clustering/chameleon/t8.8k.txt"
};
static double[][][] dataset = null;
static int datasetIndex = 0;
static int clusterNumber = 2;
JPanel optionPane;
JComponent canvas;
private JTextField clusterNumberField;
private JButton startButton;
private JComboBox datasetBox;
char pointLegend = '.';
/**
* Constructor.
*/
public ClusteringDemo() {
if (dataset == null) {
dataset = new double[datasetName.length][][];
DelimitedTextParser parser = new DelimitedTextParser();
parser.setDelimiter("[\t ]+");
try {
AttributeDataset data = parser.parse(datasetName[datasetIndex], smile.data.parser.IOUtils.getTestDataFile(datasource[datasetIndex]));
dataset[datasetIndex] = data.toArray(new double[data.size()][]);
} catch (Exception e) {
JOptionPane.showMessageDialog(null, "Failed to load dataset.", "ERROR", JOptionPane.ERROR_MESSAGE);
System.err.println(e);
}
}
addAncestorListener(this);
startButton = new JButton("Start");
startButton.setActionCommand("startButton");
startButton.addActionListener(this);
datasetBox = new JComboBox<>();
for (int i = 0; i < datasetName.length; i++) {
datasetBox.addItem(datasetName[i]);
}
datasetBox.setSelectedIndex(0);
datasetBox.setActionCommand("datasetBox");
datasetBox.addActionListener(this);
clusterNumberField = new JTextField(Integer.toString(clusterNumber), 5);
optionPane = new JPanel(new FlowLayout(FlowLayout.LEFT));
optionPane.setBorder(BorderFactory.createRaisedBevelBorder());
optionPane.add(startButton);
optionPane.add(new JLabel("Dataset:"));
optionPane.add(datasetBox);
optionPane.add(new JLabel("K:"));
optionPane.add(clusterNumberField);
setLayout(new BorderLayout());
add(optionPane, BorderLayout.NORTH);
canvas = ScatterPlot.plot(dataset[datasetIndex], '.');
add(canvas, BorderLayout.CENTER);
}
/**
* Execute the clustering algorithm and return a swing JComponent representing
* the clusters.
*/
public abstract JComponent learn();
@Override
public void run() {
startButton.setEnabled(false);
datasetBox.setEnabled(false);
try {
JComponent plot = learn();
if (plot != null) {
remove(canvas);
canvas = plot;
add(canvas, BorderLayout.CENTER);
}
validate();
} catch (Exception ex) {
System.err.println(ex);
}
startButton.setEnabled(true);
datasetBox.setEnabled(true);
}
@Override
public void actionPerformed(ActionEvent e) {
if ("startButton".equals(e.getActionCommand())) {
try {
clusterNumber = Integer.parseInt(clusterNumberField.getText().trim());
if (clusterNumber < 2) {
JOptionPane.showMessageDialog(this, "Invalid K: " + clusterNumber, ERROR, JOptionPane.ERROR_MESSAGE);
return;
}
if (clusterNumber > dataset[datasetIndex].length / 2) {
JOptionPane.showMessageDialog(this, "Too large K: " + clusterNumber, ERROR, JOptionPane.ERROR_MESSAGE);
return;
}
} catch (Exception ex) {
JOptionPane.showMessageDialog(this, "Invalid K: " + clusterNumberField.getText(), ERROR, JOptionPane.ERROR_MESSAGE);
return;
}
Thread thread = new Thread(this);
thread.start();
} else if ("datasetBox".equals(e.getActionCommand())) {
datasetIndex = datasetBox.getSelectedIndex();
if (dataset[datasetIndex] == null) {
DelimitedTextParser parser = new DelimitedTextParser();
parser.setDelimiter("[\t ]+");
try {
AttributeDataset data = parser.parse(datasetName[datasetIndex], smile.data.parser.IOUtils.getTestDataFile(datasource[datasetIndex]));
dataset[datasetIndex] = data.toArray(new double[data.size()][]);
} catch (Exception ex) {
JOptionPane.showMessageDialog(null, "Failed to load dataset.", "ERROR", JOptionPane.ERROR_MESSAGE);
System.err.println(ex);
}
}
remove(canvas);
if (dataset[datasetIndex].length < 500) {
pointLegend = 'o';
} else {
pointLegend = '.';
}
canvas = ScatterPlot.plot(dataset[datasetIndex], pointLegend);
add(canvas, BorderLayout.CENTER);
validate();
}
}
@Override
public void ancestorAdded(AncestorEvent event) {
clusterNumberField.setText(Integer.toString(clusterNumber));
if (datasetBox.getSelectedIndex() != datasetIndex) {
datasetBox.setSelectedIndex(datasetIndex);
remove(canvas);
if (dataset[datasetIndex].length < 500) {
pointLegend = 'o';
} else {
pointLegend = '.';
}
canvas = ScatterPlot.plot(dataset[datasetIndex], pointLegend);
add(canvas, BorderLayout.CENTER);
validate();
}
}
@Override
public void ancestorMoved(AncestorEvent event) {
}
@Override
public void ancestorRemoved(AncestorEvent event) {
}
}
Ads help maintain this website.