diff options
Diffstat (limited to 'src/de/lmu/ifi/dbs/elki/visualization/visualizers/optics/OPTICSClusterVisualization.java')
-rw-r--r-- | src/de/lmu/ifi/dbs/elki/visualization/visualizers/optics/OPTICSClusterVisualization.java | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/src/de/lmu/ifi/dbs/elki/visualization/visualizers/optics/OPTICSClusterVisualization.java b/src/de/lmu/ifi/dbs/elki/visualization/visualizers/optics/OPTICSClusterVisualization.java index 542dcea7..f69bdc59 100644 --- a/src/de/lmu/ifi/dbs/elki/visualization/visualizers/optics/OPTICSClusterVisualization.java +++ b/src/de/lmu/ifi/dbs/elki/visualization/visualizers/optics/OPTICSClusterVisualization.java @@ -4,7 +4,7 @@ package de.lmu.ifi.dbs.elki.visualization.visualizers.optics; This file is part of ELKI: Environment for Developing KDD-Applications Supported by Index-Structures - Copyright (C) 2011 + Copyright (C) 2012 Ludwig-Maximilians-Universität München Lehr- und Forschungseinheit für Datenbanksysteme ELKI Development Team @@ -38,7 +38,7 @@ import de.lmu.ifi.dbs.elki.logging.Logging; 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.IterableUtil; +import de.lmu.ifi.dbs.elki.utilities.iterator.IterableIterator; 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.OPTICSProjector; @@ -190,12 +190,12 @@ public class OPTICSClusterVisualization<D extends Distance<D>> extends AbstractO @Override public void processNewResult(HierarchicalResult baseResult, Result result) { - Iterator<OPTICSProjector<?>> ops = ResultUtil.filteredResults(result, OPTICSProjector.class); - for(OPTICSProjector<?> p : IterableUtil.fromIterator(ops)) { + IterableIterator<OPTICSProjector<?>> ops = ResultUtil.filteredResults(result, OPTICSProjector.class); + for(OPTICSProjector<?> p : 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(VisualizationTask.META_LEVEL, VisualizationTask.LEVEL_DATA); task.put(CLUSTERING, ocl); baseResult.getHierarchy().add(p, task); } |