Examples of VisualizationTask

de.lmu.ifi.dbs.elki.visualization.VisualizationTask
Container class, with ugly casts to reduce generics crazyness. @author Erich Schubert @apiviz.landmark @apiviz.composedOf VisFactory @apiviz.has SVGPlot @apiviz.has VisFactory @apiviz.has Projection oneway - 0:1 @apiviz.has Visualization oneway

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

    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_INTERACTIVE);
          task.put(VisualizationTask.META_TOOL, true);
          task.put(VisualizationTask.META_NOTHUMB, true);
          task.put(VisualizationTask.META_NOEXPORT, true);
          baseResult.getHierarchy().add(selres, task);
          baseResult.getHierarchy().add(p, task);
        }
      }
    }

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

    public void processNewResult(HierarchicalResult baseResult, Result result) {
      Collection<ReferencePointsResult<?>> rps = ResultUtil.filterResults(result, ReferencePointsResult.class);
      for(ReferencePointsResult<?> rp : rps) {
        IterableIterator<ScatterPlotProjector<?>> ps = ResultUtil.filteredResults(baseResult, ScatterPlotProjector.class);
        for(ScatterPlotProjector<?> p : ps) {
          final VisualizationTask task = new VisualizationTask(NAME, rp, p.getRelation(), this);
          task.put(VisualizationTask.META_LEVEL, VisualizationTask.LEVEL_DATA);
          baseResult.getHierarchy().add(rp, task);
          baseResult.getHierarchy().add(p, task);
        }
      }
    }

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

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

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

      // TODO: we can also visualize other scores!
      List<OutlierResult> ors = ResultUtil.filterResults(result, OutlierResult.class);
      for(OutlierResult o : ors) {
        Iterator<ScatterPlotProjector<?>> ps = ResultUtil.filteredResults(baseResult, ScatterPlotProjector.class);
        for(ScatterPlotProjector<?> p : IterableUtil.fromIterator(ps)) {
          final VisualizationTask task = new VisualizationTask(NAME, o.getScores(), p.getRelation(), this);
          task.put(VisualizationTask.META_TOOL, true);
          baseResult.getHierarchy().add(o.getScores(), task);
          baseResult.getHierarchy().add(p, task);
        }
      }
    }

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

      ArrayList<Clustering<?>> cs = ResultUtil.filterResults(result, Clustering.class);
      boolean hasClustering = (cs.size() > 0);


      Iterator<ScatterPlotProjector<?>> ps = ResultUtil.filteredResults(result, ScatterPlotProjector.class);
      for(ScatterPlotProjector<?> p : IterableUtil.fromIterator(ps)) {
        final VisualizationTask task = new VisualizationTask(NAME, p.getRelation(), p.getRelation(), this);
        task.put(VisualizationTask.META_LEVEL, VisualizationTask.LEVEL_DATA + 1);
        if(hasClustering) {
          task.put(VisualizationTask.META_VISIBLE_DEFAULT, false);
        }
        // baseResult.getHierarchy().add(p.getRelation(), task);
        baseResult.getHierarchy().add(p, task);
      }
    }

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

      // Find a style result to visualize:
      IterableIterator<StyleResult> styleres = ResultUtil.filteredResults(result, StyleResult.class);
      for(StyleResult c : styleres) {
        IterableIterator<ScatterPlotProjector<?>> ps = ResultUtil.filteredResults(baseResult, ScatterPlotProjector.class);
        for(ScatterPlotProjector<?> p : ps) {
          final VisualizationTask task = new VisualizationTask(NAME, c, p.getRelation(), this);
          task.put(VisualizationTask.META_LEVEL, VisualizationTask.LEVEL_DATA);
          baseResult.getHierarchy().add(c, task);
          baseResult.getHierarchy().add(p, task);
        }
      }
    }

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

  @Override
  public void processNewResult(HierarchicalResult baseResult, Result result) {
    final IterableIterator<IterableResult<?>> iterableResults = ResultUtil.filteredResults(result, IterableResult.class);
    final IterableIterator<IterableResult<DoubleDoublePair>> curves = new CurveFilter(iterableResults);
    for (IterableResult<DoubleDoublePair> curve : curves) {
      final VisualizationTask task = new VisualizationTask(NAME, curve, null, this);
      task.width = 1.0;
      task.height = 1.0;
      task.put(VisualizationTask.META_LEVEL, VisualizationTask.LEVEL_STATIC);
      baseResult.getHierarchy().add(curve, task);
    }
  }

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

    public void processNewResult(HierarchicalResult baseResult, Result result) {
      Iterator<OPTICSProjector<?>> ops = ResultUtil.filteredResults(result, OPTICSProjector.class);
      for(OPTICSProjector<?> p : IterableUtil.fromIterator(ops)) {
        final Clustering<OPTICSModel> ocl = findOPTICSClustering(baseResult);
        if(ocl != null) {
          final VisualizationTask task = new VisualizationTask(NAME, p, null, this);
          task.put(VisualizationTask.META_LEVEL, VisualizationTask.LEVEL_INTERACTIVE);
          task.put(CLUSTERING, ocl);
          baseResult.getHierarchy().add(p, task);
        }
      }
      // TODO: also run when a new clustering is added, instead of just new projections?
    }

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

      ArrayList<Clustering<?>> clusterings = ResultUtil.filterResults(result, Clustering.class);
      for(Clustering<?> c : clusterings) {
        Iterator<HistogramProjector<?>> ps = ResultUtil.filteredResults(baseResult, HistogramProjector.class);
        for(HistogramProjector<?> p : IterableUtil.fromIterator(ps)) {
          // register self
          final VisualizationTask task = new VisualizationTask(CNAME, c, p.getRelation(), this);
          task.put(VisualizationTask.META_LEVEL, VisualizationTask.LEVEL_DATA);
          baseResult.getHierarchy().add(c, task);
          baseResult.getHierarchy().add(p, task);
        }
      }
      // General data distribution
      {
        Iterator<HistogramProjector<?>> ps = ResultUtil.filteredResults(result, HistogramProjector.class);
        for(HistogramProjector<?> p : IterableUtil.fromIterator(ps)) {
          // register self
          final VisualizationTask task = new VisualizationTask(NAME, null, p.getRelation(), this);
          task.put(VisualizationTask.META_LEVEL, VisualizationTask.LEVEL_DATA);
          if(clusterings.size() > 0) {
            task.put(VisualizationTask.META_VISIBLE_DEFAULT, false);
          }
          // baseResult.getHierarchy().add(p.getRelation(), task);
          baseResult.getHierarchy().add(p, task);
        }
      }

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

          // 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 + 1);
              baseResult.getHierarchy().add(c, task);
              baseResult.getHierarchy().add(p, task);
            }
          }
        }

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