Package de.lmu.ifi.dbs.elki.visualization

Examples of de.lmu.ifi.dbs.elki.visualization.VisualizationTask

121
122
123
124
125
126
127
128
129
130
    @Override
    public void processNewResult(HierarchicalResult baseResult, Result result) {
      Iterator<OPTICSProjector<?>> ops = ResultUtil.filteredResults(result, OPTICSProjector.class);
      for(OPTICSProjector<?> p : IterableUtil.fromIterator(ops)) {
        // Add plots, attach visualizer
        final VisualizationTask task = new VisualizationTask(NAME, p, null, this);
        task.put(VisualizationTask.META_LEVEL, VisualizationTask.LEVEL_STATIC);
        baseResult.getHierarchy().add(p, task);
      }
    }
View Full Code Here
277
278
279
280
281
282
283
284
285
286
    @Override
    public void processNewResult(HierarchicalResult baseResult, Result result) {
      Iterator<OPTICSProjector<?>> ops = ResultUtil.filteredResults(result, OPTICSProjector.class);
      for(OPTICSProjector<?> p : IterableUtil.fromIterator(ops)) {
        final VisualizationTask task = new VisualizationTask(NAME, p, null, this);
        task.put(VisualizationTask.META_LEVEL, VisualizationTask.LEVEL_INTERACTIVE);
        baseResult.getHierarchy().add(p, task);
      }
    }
View Full Code Here
228
229
230
231
232
233
234
235
236
237
238
239
      ArrayList<AbstractRStarTree<RStarTreeNode, SpatialEntry>> trees = ResultUtil.filterResults(result, AbstractRStarTree.class);
      for(AbstractRStarTree<RStarTreeNode, SpatialEntry> tree : trees) {
        if(tree instanceof Result) {
          Iterator<ScatterPlotProjector<?>> ps = ResultUtil.filteredResults(baseResult, ScatterPlotProjector.class);
          for(ScatterPlotProjector<?> p : IterableUtil.fromIterator(ps)) {
            final VisualizationTask task = new VisualizationTask(NAME, (Result) tree, p.getRelation(), this);
            task.put(VisualizationTask.META_LEVEL, VisualizationTask.LEVEL_BACKGROUND + 1);
            baseResult.getHierarchy().add((Result) tree, task);
            baseResult.getHierarchy().add(p, task);
          }
        }
      }
View Full Code Here
166
167
168
169
170
171
172
173
174
175
176
177
  @Override
  public void processNewResult(HierarchicalResult baseResult, Result newResult) {
    List<HistogramResult<? extends NumberVector<?, ?>>> histograms = ResultUtil.filterResults(newResult, HistogramResult.class);
    for(HistogramResult<? extends NumberVector<?, ?>> histogram : histograms) {
      final VisualizationTask task = new VisualizationTask(NAME, histogram, null, this);
      task.width = 2.0;
      task.height = 1.0;
      task.put(VisualizationTask.META_LEVEL, VisualizationTask.LEVEL_STATIC);
      baseResult.getHierarchy().add(histogram, task);
    }
  }
View Full Code Here
230
231
232
233
234
235
236
237
238
239
240
241
    public void processNewResult(HierarchicalResult baseResult, Result result) {
      final ArrayList<SelectionResult> selectionResults = ResultUtil.filterResults(result, SelectionResult.class);
      for(SelectionResult selres : selectionResults) {
        Iterator<ScatterPlotProjector<?>> ps = ResultUtil.filteredResults(baseResult, ScatterPlotProjector.class);
        for(ScatterPlotProjector<?> p : IterableUtil.fromIterator(ps)) {
          final VisualizationTask task = new VisualizationTask(NAME, selres, p.getRelation(), this);
          task.put(VisualizationTask.META_LEVEL, VisualizationTask.LEVEL_DATA - 2);
          baseResult.getHierarchy().add(selres, task);
          baseResult.getHierarchy().add(p, task);
        }
      }
    }
View Full Code Here
350
351
352
353
354
355
356
357
358
359
    @Override
    public void processNewResult(HierarchicalResult baseResult, Result result) {
      Iterator<OPTICSProjector<?>> ops = ResultUtil.filteredResults(result, OPTICSProjector.class);
      for(OPTICSProjector<?> p : IterableUtil.fromIterator(ops)) {
        final VisualizationTask task = new VisualizationTask(NAME, p, null, this);
        task.put(VisualizationTask.META_LEVEL, VisualizationTask.LEVEL_INTERACTIVE);
        baseResult.getHierarchy().add(p, task);
      }
    }
View Full Code Here
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
151
152
153
154
155
156
157
158
159
160
          master.subitems.add(it);
        }
        // Label at bottom
        {
          PlotItem it = new PlotItem(.1, 2., 2., .1, null);
          final VisualizationTask task = new VisualizationTask("", null, null, new LabelVisFactory(DatabaseUtil.getColumnLabel(rel, 1)));
          task.height = .1;
          task.width = 2.;
          task.put(VisualizationTask.META_NODETAIL, true);
          it.tasks.add(task);
          master.subitems.add(it);
        }
        // Label on left
        {
          PlotItem it = new PlotItem(0, 0, .1, 2, null);
          final VisualizationTask task = new VisualizationTask("", null, null, new LabelVisFactory(DatabaseUtil.getColumnLabel(rel, 2), true));
          task.height = 2.;
          task.width = .1;
          task.put(VisualizationTask.META_NODETAIL, true);
          it.tasks.add(task);
          master.subitems.add(it);
        }
      }
      else {
        final double sizeh = Math.ceil((dmax - 1) / 2.0);
        master = new PlotItem(sizeh * 2 + .1, dmax - 1 + .1, null);

        for(int d1 = 1; d1 < dmax; d1++) {
          for(int d2 = d1 + 1; d2 <= dmax; d2++) {
            Projection2D proj = new Simple2D(scales.getScales(), d1, d2);
            PlotItem it = new PlotItem(d1 - 1 + .1, d2 - 2, 1., 1., proj);
            it.tasks = tasks;
            master.subitems.add(it);
          }
        }
        if(dmax >= 3) {
          AffineTransformation p = AffineProjection.axisProjection(DatabaseUtil.dimensionality(rel), 1, 2);
          p.addRotation(0, 2, Math.PI / 180 * -10.);
          p.addRotation(1, 2, Math.PI / 180 * 15.);
          // Wanna try 4d? go ahead:
          // p.addRotation(0, 3, Math.PI / 180 * -20.);
          // p.addRotation(1, 3, Math.PI / 180 * 30.);
          Projection2D proj = new AffineProjection(scales.getScales(), p);
          PlotItem it = new PlotItem(sizeh + .1, 0, sizeh, sizeh, proj);
          it.tasks = tasks;
          master.subitems.add(it);
        }
        // Labels at bottom
        for(int d1 = 1; d1 < dmax; d1++) {
          PlotItem it = new PlotItem(d1 - 1 + .1, dmax - 1, 1., .1, null);
          final VisualizationTask task = new VisualizationTask("", null, null, new LabelVisFactory(DatabaseUtil.getColumnLabel(rel, d1)));
          task.height = .1;
          task.width = 1;
          task.put(VisualizationTask.META_NODETAIL, true);
          it.tasks.add(task);
          master.subitems.add(it);
        }
        // Labels on left
        for(int d2 = 2; d2 <= dmax; d2++) {
          PlotItem it = new PlotItem(0, d2 - 2, .1, 1, null);
          final VisualizationTask task = new VisualizationTask("", null, null, new LabelVisFactory(DatabaseUtil.getColumnLabel(rel, d2), true));
          task.height = 1;
          task.width = .1;
          task.put(VisualizationTask.META_NODETAIL, true);
          it.tasks.add(task);
          master.subitems.add(it);
        }
      }

View Full Code Here
193
194
195
196
197
198
199
200
201
202
203
204
    try {
      SVGPlot plot = new SVGPlot();
      plot.getRoot().setAttribute(SVGConstants.SVG_VIEW_BOX_ATTRIBUTE, "0 0 " + task.getWidth() + " " + task.getHeight());

      // Work on a clone
      VisualizationTask clone = task.clone(plot, context);
      clone.put(VisualizationTask.THUMBNAIL, false);
      Visualization vis = visFactory.makeVisualization(clone);

      plot.getRoot().appendChild(vis.getLayer());
      plot.updateStyleElement();
      final int tw = (int) (task.getWidth() * tresolution);
 
View Full Code Here
440
441
442
443
444
445
446
447
448
449
450
451
          // Does the cluster have a model with cluster means?
          Clustering<MeanModel<NV>> mcls = findMeanModel(c);
          if(mcls != null) {
            Iterator<ScatterPlotProjector<?>> ps = ResultUtil.filteredResults(baseResult, ScatterPlotProjector.class);
            for(ScatterPlotProjector<?> p : IterableUtil.fromIterator(ps)) {
              final VisualizationTask task = new VisualizationTask(NAME, c, p.getRelation(), this);
              task.put(VisualizationTask.META_LEVEL, VisualizationTask.LEVEL_DATA + 3);
              baseResult.getHierarchy().add(c, task);
              baseResult.getHierarchy().add(p, task);
            }
          }
        }
View Full Code Here
242
243
244
245
246
247
248
249
250
251
252
253
          Clustering<MeanModel<? extends NumberVector<?, ?>>> mcls = findMeanModel(c);
          if(mcls != null) {
            IterableIterator<ScatterPlotProjector<?>> ps = ResultUtil.filteredResults(baseResult, ScatterPlotProjector.class);
            for(ScatterPlotProjector<?> p : ps) {
              if(DatabaseUtil.dimensionality(p.getRelation()) == 2) {
                final VisualizationTask task = new VisualizationTask(NAME, c, p.getRelation(), this);
                task.put(VisualizationTask.META_LEVEL, VisualizationTask.LEVEL_DATA + 3);
                baseResult.getHierarchy().add(p, task);
                baseResult.getHierarchy().add(c, task);
              }
            }
          }
View Full Code Here
TOP

Related Classes of de.lmu.ifi.dbs.elki.visualization.VisualizationTask

  • de.lmu.ifi.dbs.elki.visualization.gui.detail.DetailView
  • de.lmu.ifi.dbs.elki.visualization.gui.overview.OverviewPlot
  • de.lmu.ifi.dbs.elki.visualization.gui.ResultWindow
  • de.lmu.ifi.dbs.elki.visualization.projector.HistogramProjector
  • de.lmu.ifi.dbs.elki.visualization.projector.ScatterPlotProjector
  • de.lmu.ifi.dbs.elki.visualization.visualizers.histogram.ColoredHistogramVisualizer$Factory
  • de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSClusterVisualization$Factory
  • de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotCutVisualization$Factory
  • de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotSelectionVisualization$Factory
  • de.lmu.ifi.dbs.elki.visualization.visualizers.optics.OPTICSPlotVisualizer$Factory
    • Copyright © 2018 www.massapicom. All rights reserved.
    All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.