/*
* RapidMiner
*
* Copyright (C) 2001-2008 by Rapid-I and the contributors
*
* Complete list of developers available at our web site:
*
* http://rapid-i.com
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU Affero General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Affero General Public License for more details.
*
* You should have received a copy of the GNU Affero General Public License
* along with this program. If not, see http://www.gnu.org/licenses/.
*/
package com.rapidminer.gui.renderer.similarity;
import java.awt.Component;
import java.util.Iterator;
import java.util.Random;
import com.rapidminer.datatable.DataTable;
import com.rapidminer.datatable.SimpleDataTable;
import com.rapidminer.datatable.SimpleDataTableRow;
import com.rapidminer.gui.plotter.HistogramPlotter;
import com.rapidminer.gui.plotter.Plotter;
import com.rapidminer.gui.renderer.AbstractRenderer;
import com.rapidminer.operator.IOContainer;
import com.rapidminer.operator.similarity.SimilarityMeasure;
import com.rapidminer.report.Reportable;
/**
* A renderer for the histogram view of a similarity measure.
*
* @author Ingo Mierswa
* @version $Id: SimilarityHistogramRenderer.java,v 1.3 2008/07/18 15:50:44 ingomierswa Exp $
*/
public class SimilarityHistogramRenderer extends AbstractRenderer {
public String getName() {
return "Histogram";
}
private Plotter createHistogramPlotter(Object renderable, IOContainer ioContainer) {
SimilarityMeasure sim = (SimilarityMeasure) renderable;
DataTable dataTable = new SimpleDataTable("Histogram", new String[] { "Histogram" });
double sampleRatio = Math.min(1.0d, 500.0d / sim.getNumberOfIds());
Random random = new Random();
Iterator<String> i = sim.getIds();
while (i.hasNext()) {
String idX = i.next();
Iterator<String> j = sim.getIds();
if (random.nextDouble() < sampleRatio) {
while (j.hasNext()) {
String idY = j.next();
if (!(idX.equals(idY)) && (random.nextDouble() < sampleRatio)) {
double simValue = sim.similarity(idX, idY);
dataTable.add(new SimpleDataTableRow(new double[] { simValue }));
}
}
}
}
HistogramPlotter histogramView = new HistogramPlotter();
histogramView.setDataTable(dataTable);
histogramView.setPlotColumn(0, true);
histogramView.setBinNumber(100);
return histogramView;
}
public Reportable createReportable(Object renderable, IOContainer ioContainer, int width, int height) {
Plotter plotter = createHistogramPlotter(renderable, ioContainer);
plotter.getPlotter().setSize(width, height);
return plotter;
}
public Component getVisualizationComponent(Object renderable, IOContainer ioContainer) {
return createHistogramPlotter(renderable, ioContainer).getPlotter();
}
}