Package de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster

Source Code of de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster.ClusterOutlineVisualization$Factory

package de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster;

/*
This file is part of ELKI:
Environment for Developing KDD-Applications Supported by Index-Structures

Copyright (C) 2012
Ludwig-Maximilians-Universität München
Lehr- und Forschungseinheit für Datenbanksysteme
ELKI Development Team

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/>.
*/

import java.util.Iterator;

import org.apache.batik.util.SVGConstants;
import org.w3c.dom.Element;

import de.lmu.ifi.dbs.elki.data.Cluster;
import de.lmu.ifi.dbs.elki.data.Clustering;
import de.lmu.ifi.dbs.elki.data.NumberVector;
import de.lmu.ifi.dbs.elki.data.model.Model;
import de.lmu.ifi.dbs.elki.database.datastore.DataStoreListener;
import de.lmu.ifi.dbs.elki.database.ids.DBID;
import de.lmu.ifi.dbs.elki.math.DoubleMinMax;
import de.lmu.ifi.dbs.elki.result.HierarchicalResult;
import de.lmu.ifi.dbs.elki.result.Result;
import de.lmu.ifi.dbs.elki.result.ResultUtil;
import de.lmu.ifi.dbs.elki.utilities.iterator.IterableIterator;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID;
import de.lmu.ifi.dbs.elki.visualization.VisualizationTask;
import de.lmu.ifi.dbs.elki.visualization.colors.ColorLibrary;
import de.lmu.ifi.dbs.elki.visualization.css.CSSClass;
import de.lmu.ifi.dbs.elki.visualization.projector.ParallelPlotProjector;
import de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary;
import de.lmu.ifi.dbs.elki.visualization.svg.SVGPath;
import de.lmu.ifi.dbs.elki.visualization.svg.SVGPlot;
import de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil;
import de.lmu.ifi.dbs.elki.visualization.visualizers.AbstractVisFactory;
import de.lmu.ifi.dbs.elki.visualization.visualizers.Visualization;
import de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.AbstractParallelVisualization;

/**
* Generates a SVG-Element that visualizes the area covered by a cluster.
*
* @author Robert Rödler
* @author Erich Schubert
*/
public class ClusterOutlineVisualization extends AbstractParallelVisualization<NumberVector<?, ?>> implements DataStoreListener {
  /**
   * Generic tags to indicate the type of element. Used in IDs, CSS-Classes etc.
   */
  public static final String CLUSTERAREA = "Clusteroutline";

  /**
   * The result we visualize
   */
  private Clustering<Model> clustering;

  /**
   * Flag for using rounded shapes
   */
  boolean rounded = true;

  /**
   * Constructor.
   *
   * @param task VisualizationTask
   */
  public ClusterOutlineVisualization(VisualizationTask task, boolean rounded) {
    super(task);
    this.clustering = task.getResult();
    this.rounded = rounded;
    context.addDataStoreListener(this);
    context.addResultListener(this);
    incrementalRedraw();
  }

  @Override
  public void destroy() {
    context.removeDataStoreListener(this);
    context.removeResultListener(this);
    super.destroy();
  }

  @Override
  protected void redraw() {
    addCSSClasses(svgp);
    int dim = proj.getVisibleDimensions();

    DoubleMinMax[] mms = DoubleMinMax.newArray(dim);
    DoubleMinMax[] midmm = DoubleMinMax.newArray(dim - 1);

    Iterator<Cluster<Model>> ci = clustering.getAllClusters().iterator();
    for(int cnum = 0; cnum < clustering.getAllClusters().size(); cnum++) {
      Cluster<?> clus = ci.next();
      for(int i = 0; i < dim; i++) {
        mms[i].reset();
        if(i < dim - 1) {
          midmm[i].reset();
        }
      }

      // Process points
      // TODO: do this just once, cache the result somewhere appropriately?
      for(DBID objId : clus.getIDs()) {
        double[] yPos = proj.fastProjectDataToRenderSpace(relation.get(objId));
        for(int i = 0; i < dim; i++) {
          mms[i].put(yPos[i]);
          if(i > 0) {
            midmm[i - 1].put((yPos[i] + yPos[i - 1]) / 2.);
          }
        }
      }

      SVGPath path = new SVGPath();
      if(!rounded) {
        // Straight lines
        for(int i = 0; i < dim; i++) {
          path.drawTo(getVisibleAxisX(i), mms[i].getMax());
          if(i < dim - 1) {
            path.drawTo(getVisibleAxisX(i + .5), midmm[i].getMax());
          }
        }
        for(int i = dim - 1; i >= 0; i--) {
          if(i < dim - 1) {
            path.drawTo(getVisibleAxisX(i + .5), midmm[i].getMin());
          }
          path.drawTo(getVisibleAxisX(i), mms[i].getMin());
        }
        path.close();
      }
      else {
        // Maxima
        path.drawTo(getVisibleAxisX(0), mms[0].getMax());
        for(int i = 1; i < dim; i++) {
          path.quadTo(getVisibleAxisX(i - .5), midmm[i - 1].getMax(), getVisibleAxisX(i), mms[i].getMax());
        }
        // Minima
        path.drawTo(getVisibleAxisX(dim - 1), mms[dim - 1].getMin());
        for(int i = dim - 1; i > 0; i--) {
          path.quadTo(getVisibleAxisX(i - .5), midmm[i - 1].getMin(), getVisibleAxisX(i - 1), mms[i - 1].getMin());
        }
        path.close();
      }

      Element intervals = path.makeElement(svgp);
      SVGUtil.addCSSClass(intervals, CLUSTERAREA + cnum);
      layer.appendChild(intervals);
    }
  }

  /**
   * Adds the required CSS-Classes
   *
   * @param svgp SVG-Plot
   */
  private void addCSSClasses(SVGPlot svgp) {
    if(!svgp.getCSSClassManager().contains(CLUSTERAREA)) {
      ColorLibrary colors = context.getStyleLibrary().getColorSet(StyleLibrary.PLOT);
      int clusterID = 0;

      for(@SuppressWarnings("unused")
      Cluster<?> cluster : clustering.getAllClusters()) {
        CSSClass cls = new CSSClass(this, CLUSTERAREA + clusterID);
        // cls.setStatement(SVGConstants.CSS_STROKE_WIDTH_PROPERTY,
        // context.getStyleLibrary().getLineWidth(StyleLibrary.PLOT) / 2.0);
        cls.setStatement(SVGConstants.CSS_OPACITY_PROPERTY, 0.5);
        final String color;
        if(clustering.getAllClusters().size() == 1) {
          color = SVGConstants.CSS_BLACK_VALUE;
        }
        else {
          color = colors.getColor(clusterID);
        }
        // cls.setStatement(SVGConstants.CSS_STROKE_PROPERTY, color);
        cls.setStatement(SVGConstants.CSS_FILL_PROPERTY, color);

        svgp.addCSSClassOrLogError(cls);
        clusterID++;
      }
    }
  }

  /**
   * Factory for axis visualizations
   *
   * @author Robert Rödler
   *
   * @apiviz.stereotype factory
   * @apiviz.uses ClusterOutlineVisualization oneway - - «create»
   */
  public static class Factory extends AbstractVisFactory {
    /**
     * A short name characterizing this Visualizer.
     */
    private static final String NAME = "Cluster Outline";

    /**
     * Currently unused option to enable/disable rounding
     */
    public static final OptionID ROUNDED_ID = OptionID.getOrCreateOptionID("parallel.clusteroutline.rounded", "Draw lines rounded");

    /**
     * Currently, always enabled.
     */
    private boolean rounded = true;

    /**
     * Constructor, adhering to
     * {@link de.lmu.ifi.dbs.elki.utilities.optionhandling.Parameterizable}
     */
    public Factory() {
      super();
    }

    @Override
    public Visualization makeVisualization(VisualizationTask task) {
      return new ClusterOutlineVisualization(task, rounded);
    }

    @Override
    public void processNewResult(HierarchicalResult baseResult, Result result) {
      // Find clusterings we can visualize:
      Iterator<Clustering<?>> clusterings = ResultUtil.filteredResults(result, Clustering.class);
      while(clusterings.hasNext()) {
        Clustering<?> c = clusterings.next();
        if(c.getAllClusters().size() > 0) {
          IterableIterator<ParallelPlotProjector<?>> ps = ResultUtil.filteredResults(baseResult, ParallelPlotProjector.class);
          for(ParallelPlotProjector<?> p : ps) {
            final VisualizationTask task = new VisualizationTask(NAME, c, p.getRelation(), this);
            task.put(VisualizationTask.META_LEVEL, VisualizationTask.LEVEL_DATA - 1);
            task.put(VisualizationTask.META_VISIBLE_DEFAULT, false);
            baseResult.getHierarchy().add(c, task);
            baseResult.getHierarchy().add(p, task);
          }
        }
      }
    }

    @Override
    public boolean allowThumbnails(VisualizationTask task) {
      // Don't use thumbnails
      return false;
    }
  }
}
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