summaryrefslogtreecommitdiff
path: root/src/de/lmu/ifi/dbs/elki/visualization/visualizers/scatterplot/cluster/ClusterOrderVisualization.java
blob: bd173e8095d3c572cb22358ad6e67ae0d3fd0149 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
package de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.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.Collection;

import org.w3c.dom.Element;

import de.lmu.ifi.dbs.elki.database.datastore.DataStoreListener;
import de.lmu.ifi.dbs.elki.database.ids.DBID;
import de.lmu.ifi.dbs.elki.distance.distancevalue.DoubleDistance;
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.result.optics.ClusterOrderEntry;
import de.lmu.ifi.dbs.elki.result.optics.ClusterOrderResult;
import de.lmu.ifi.dbs.elki.visualization.VisualizationTask;
import de.lmu.ifi.dbs.elki.visualization.css.CSSClass;
import de.lmu.ifi.dbs.elki.visualization.projector.ScatterPlotProjector;
import de.lmu.ifi.dbs.elki.visualization.style.StyleLibrary;
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.scatterplot.AbstractScatterplotVisualization;

/**
 * Cluster order visualizer: connect objects via the spanning tree the cluster
 * order represents.
 * 
 * @author Erich Schubert
 * 
 * @apiviz.stereotype factory
 * @apiviz.uses Instance oneway - - «create»
 */
public class ClusterOrderVisualization extends AbstractVisFactory {
  /**
   * A short name characterizing this Visualizer.
   */
  private static final String NAME = "Predecessor Graph";

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

  @Override
  public Visualization makeVisualization(VisualizationTask task) {
    return new Instance(task);
  }

  @Override
  public void processNewResult(HierarchicalResult baseResult, Result result) {
    Collection<ClusterOrderResult<DoubleDistance>> cos = ResultUtil.filterResults(result, ClusterOrderResult.class);
    for(ClusterOrderResult<DoubleDistance> co : cos) {
      Collection<ScatterPlotProjector<?>> ps = ResultUtil.filterResults(baseResult, ScatterPlotProjector.class);
      for(ScatterPlotProjector<?> p : ps) {
        final VisualizationTask task = new VisualizationTask(NAME, co, p.getRelation(), this);
        task.initDefaultVisibility(false);
        task.level = VisualizationTask.LEVEL_DATA - 1;
        baseResult.getHierarchy().add(co, task);
        baseResult.getHierarchy().add(p, task);
      }
    }
  }

  /**
   * Instance
   * 
   * @author Erich Schubert
   * 
   * @apiviz.has ClusterOrderResult oneway - - visualizes
   */
  // TODO: listen for CLUSTER ORDER changes.
  public class Instance extends AbstractScatterplotVisualization implements DataStoreListener {
    /**
     * CSS class name
     */
    private static final String CSSNAME = "predecessor";

    /**
     * The result we visualize
     */
    protected ClusterOrderResult<?> result;

    public Instance(VisualizationTask task) {
      super(task);
      result = task.getResult();
      context.addDataStoreListener(this);
      incrementalRedraw();
    }

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

    @Override
    public void redraw() {
      final StyleLibrary style = context.getStyleResult().getStyleLibrary();
      CSSClass cls = new CSSClass(this, CSSNAME);
      style.lines().formatCSSClass(cls, 0, style.getLineWidth(StyleLibrary.CLUSTERORDER));

      svgp.addCSSClassOrLogError(cls);

      for(ClusterOrderEntry<?> ce : result) {
        DBID thisId = ce.getID();
        DBID prevId = ce.getPredecessorID();
        if(thisId == null || prevId == null) {
          continue;
        }
        double[] thisVec = proj.fastProjectDataToRenderSpace(rel.get(thisId));
        double[] prevVec = proj.fastProjectDataToRenderSpace(rel.get(prevId));

        // FIXME: DO NOT COMMIT
        thisVec[0] = thisVec[0] * 0.95 + prevVec[0] * 0.05;
        thisVec[1] = thisVec[1] * 0.95 + prevVec[1] * 0.05;

        Element arrow = svgp.svgLine(prevVec[0], prevVec[1], thisVec[0], thisVec[1]);
        SVGUtil.setCSSClass(arrow, cls.getName());

        layer.appendChild(arrow);
      }
    }
  }
}