1 files changed, 5 insertions, 4 deletions
diff --git a/src/de/lmu/ifi/dbs/elki/algorithm/outlier/meta/ExternalDoubleOutlierScore.java b/src/de/lmu/ifi/dbs/elki/algorithm/outlier/meta/ExternalDoubleOutlierScore.java
index 757b80ad..f0ada6a8 100644
--- a/src/de/lmu/ifi/dbs/elki/algorithm/outlier/meta/ExternalDoubleOutlierScore.java
+++ b/src/de/lmu/ifi/dbs/elki/algorithm/outlier/meta/ExternalDoubleOutlierScore.java
@@ -4,7 +4,7 @@ package de.lmu.ifi.dbs.elki.algorithm.outlier.meta;
  This file is part of ELKI:
  Environment for Developing KDD-Applications Supported by Index-Structures
 
- Copyright (C) 2013
+ Copyright (C) 2014
  Ludwig-Maximilians-Universität München
  Lehr- und Forschungseinheit für Datenbanksysteme
  ELKI Development Team
@@ -42,7 +42,8 @@ import de.lmu.ifi.dbs.elki.database.datastore.DataStoreUtil;
 import de.lmu.ifi.dbs.elki.database.datastore.WritableDoubleDataStore;
 import de.lmu.ifi.dbs.elki.database.ids.DBIDIter;
 import de.lmu.ifi.dbs.elki.database.ids.DBIDUtil;
-import de.lmu.ifi.dbs.elki.database.relation.MaterializedRelation;
+import de.lmu.ifi.dbs.elki.database.relation.DoubleRelation;
+import de.lmu.ifi.dbs.elki.database.relation.MaterializedDoubleRelation;
 import de.lmu.ifi.dbs.elki.database.relation.Relation;
 import de.lmu.ifi.dbs.elki.datasource.parser.AbstractParser;
 import de.lmu.ifi.dbs.elki.logging.Logging;
@@ -203,7 +204,7 @@ public class ExternalDoubleOutlierScore extends AbstractAlgorithm<OutlierResult>
     else {
       meta = new BasicOutlierScoreMeta(minmax.getMin(), minmax.getMax());
     }
-    Relation<Double> scoresult = new MaterializedRelation<>("External Outlier", "external-outlier", TypeUtil.DOUBLE, scores, relation.getDBIDs());
+    DoubleRelation scoresult = new MaterializedDoubleRelation("External Outlier", "external-outlier", scores, relation.getDBIDs());
     OutlierResult or = new OutlierResult(meta, scoresult);
 
     // Apply scaling
@@ -212,7 +213,7 @@ public class ExternalDoubleOutlierScore extends AbstractAlgorithm<OutlierResult>
     }
     DoubleMinMax mm = new DoubleMinMax();
     for(DBIDIter iditer = relation.iterDBIDs(); iditer.valid(); iditer.advance()) {
-      double val = scoresult.get(iditer);
+      double val = scoresult.doubleValue(iditer);
       val = scaling.getScaled(val);
       scores.putDouble(iditer, val);
       mm.put(val);