/* * Copyright 2004-2010 Information & Software Engineering Group (188/1) * Institute of Software Technology and Interactive Systems * Vienna University of Technology, Austria * * 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.ifs.tuwien.ac.at/dm/somtoolbox/license.html * * 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 at.tuwien.ifs.somtoolbox.visualization; import java.awt.Color; import java.awt.Graphics2D; import java.awt.Rectangle; import java.awt.image.BufferedImage; import java.io.BufferedReader; import java.io.FileReader; import java.util.StringTokenizer; import java.util.logging.Logger; import at.tuwien.ifs.somtoolbox.SOMToolboxException; import at.tuwien.ifs.somtoolbox.data.SOMVisualisationData; import at.tuwien.ifs.somtoolbox.layers.LayerAccessException; import at.tuwien.ifs.somtoolbox.layers.Unit; import at.tuwien.ifs.somtoolbox.layers.quality.IntrinsicDistance; import at.tuwien.ifs.somtoolbox.layers.quality.QualityMeasureNotFoundException; import at.tuwien.ifs.somtoolbox.models.GrowingSOM; /** * Visualisation of some aspects of the Intrinsic Distance Quality Measure, computation in {@link IntrinsicDistance}. <br> * Notes: Only the measure relating to the Units will be drawn * * @author Gerd Platzgummer * @version $Id: IntrinsicDistanceVisualizer.java 3587 2010-05-21 10:35:33Z mayer $ */ public class IntrinsicDistanceVisualizer extends AbstractBackgroundImageVisualizer implements QualityMeasureVisualizer { private IntrinsicDistance distance = null; public IntrinsicDistanceVisualizer() { NUM_VISUALIZATIONS = 1; VISUALIZATION_NAMES = new String[] { "Intrinsic Distance Value" }; VISUALIZATION_SHORT_NAMES = new String[] { "IntrinsicDist" }; VISUALIZATION_DESCRIPTIONS = new String[] { "Intrinsic Distance Value per Sample, Result mapped on the corresponding Map Units of the trained SOM.\n" + "S. Kaski and K. Lagus, Comparing self- organizing maps\n" + "In ICANN96, International conference on Artificial Neural Networks, vol. 1112, 809-814}, Springer, Berlin, 1996.\n\n" + "The computation of the shortest path is done by the Algorithm of Dijkstra\n" + "(E. Dijkstra, A note on two problems in connection with graphs,Numerical Mathematics 1 (1959), pages 395-412, 1959)" }; neededInputObjects = new String[] { SOMVisualisationData.INPUT_VECTOR /* , SOMVisualisationData.QM_CACHE_FILE */}; } @Override public BufferedImage createVisualization(int index, GrowingSOM gsom, int width, int height) throws SOMToolboxException { // InputData data = null; // String cachefile = fileNames[1]; // cachefile auslesen, kann auch null sein wenn nicht angegeben vom user // gattuso // fileNames[1] = null; // l�schen, damit das Popupfenster wieder kommt gattuso // setFileName(1, null); // nouamoll, gattuso // if (cachefile == null) // kein Cachefile angegeben, daher neu berechnen gattuso // { // if (id == null) { // if (fileNames[0] != null) { // InputData data = new SOMLibSparseInputData(fileNames[0], true, true, 1, 7); String cachefile = null; if (gsom.getSharedInputObjects().getData(neededInputObjects[0]) == null) { throw new SOMToolboxException("You need to specify " + neededInputObjects[0]); } distance = new IntrinsicDistance(gsom.getLayer(), gsom.getSharedInputObjects().getInputData()); return createQEImage(gsom, width, height, cachefile); } private BufferedImage createQEImage(GrowingSOM gsom, int width, int height, String cachefile) { double maxID = Double.MIN_VALUE; double minID = Double.MAX_VALUE; double[][] unitquals = null; if (cachefile == null) { try { unitquals = distance.getUnitQualities("ID_Unit"); } catch (QualityMeasureNotFoundException e) { } } else { unitquals = new double[gsom.getLayer().getXSize()][gsom.getLayer().getYSize()]; // aus Cachefile auslesen try { BufferedReader br = new BufferedReader(new FileReader(cachefile)); String line = null; int y = 0; while ((line = br.readLine()) != null) { if (line.trim() != "") { StringTokenizer st = new StringTokenizer(line); int x = 0; while (st.hasMoreTokens()) { unitquals[x][y] = Double.parseDouble(st.nextToken()); x++; } y++; } } br.close(); } catch (Exception ex) { } } for (int j = 0; j < gsom.getLayer().getYSize(); j++) { for (int i = 0; i < gsom.getLayer().getXSize(); i++) { Unit u = null; try { u = gsom.getLayer().getUnit(i, j); } catch (LayerAccessException e) { Logger.getLogger("at.tuwien.ifs.somtoolbox").severe(e.getMessage()); System.exit(-1); } if (u.getNumberOfMappedInputs() > 0) { if (unitquals[u.getXPos()][u.getYPos()] > maxID) { maxID = unitquals[u.getXPos()][u.getYPos()]; } if (unitquals[u.getXPos()][u.getYPos()] < minID) { minID = unitquals[u.getXPos()][u.getYPos()]; } } } } BufferedImage res = new BufferedImage(width, height, BufferedImage.TYPE_INT_RGB); Graphics2D g = (Graphics2D) res.getGraphics(); int unitWidth = width / gsom.getLayer().getXSize(); int unitHeight = height / gsom.getLayer().getYSize(); int ci = 0; for (int y = 0; y < gsom.getLayer().getYSize(); y++) { for (int x = 0; x < gsom.getLayer().getXSize(); x++) { Unit u = null; try { u = gsom.getLayer().getUnit(x, y); } catch (LayerAccessException e) { Logger.getLogger("at.tuwien.ifs.somtoolbox").severe(e.getMessage()); System.exit(-1); } if (u.getNumberOfMappedInputs() > 0) { // ci = // (int)Math.round(((qe.getUnitQualities("QE_UnitQE")[u.getXPos()][u.getYPos()]-minQE)/(maxQE-minQE))*(double)(paletteSize-1)); // g.setPaint(palette[ci]); ci = (int) ((unitquals[u.getXPos()][u.getYPos()] - minID) / (maxID - minID) * 255); g.setPaint(new Color(0, 255 - ci, 255 - ci)); } else { g.setPaint(Color.WHITE); } g.setColor(null); g.fill(new Rectangle(x * unitWidth, y * unitHeight, unitWidth, unitHeight)); } } return res; } // } }