1 files changed, 6 insertions, 6 deletions
diff --git a/src/de/lmu/ifi/dbs/elki/utilities/scaling/outlier/StandardDeviationScaling.java b/src/de/lmu/ifi/dbs/elki/utilities/scaling/outlier/StandardDeviationScaling.java
index b0040571..c9486b9d 100644
--- a/src/de/lmu/ifi/dbs/elki/utilities/scaling/outlier/StandardDeviationScaling.java
+++ b/src/de/lmu/ifi/dbs/elki/utilities/scaling/outlier/StandardDeviationScaling.java
@@ -4,7 +4,7 @@ package de.lmu.ifi.dbs.elki.utilities.scaling.outlier;
  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
@@ -24,7 +24,7 @@ package de.lmu.ifi.dbs.elki.utilities.scaling.outlier;
  */
 
 import de.lmu.ifi.dbs.elki.database.ids.DBIDIter;
-import de.lmu.ifi.dbs.elki.database.relation.Relation;
+import de.lmu.ifi.dbs.elki.database.relation.DoubleRelation;
 import de.lmu.ifi.dbs.elki.math.MathUtil;
 import de.lmu.ifi.dbs.elki.math.Mean;
 import de.lmu.ifi.dbs.elki.math.MeanVariance;
@@ -109,9 +109,9 @@ public class StandardDeviationScaling implements OutlierScalingFunction {
   public void prepare(OutlierResult or) {
     if (fixedmean == null) {
       MeanVariance mv = new MeanVariance();
-      Relation<Double> scores = or.getScores();
+      DoubleRelation scores = or.getScores();
       for (DBIDIter id = scores.iterDBIDs(); id.valid(); id.advance()) {
-        double val = scores.get(id);
+        double val = scores.doubleValue(id);
         if (!Double.isNaN(val) && !Double.isInfinite(val)) {
           mv.put(val);
         }
@@ -124,9 +124,9 @@ public class StandardDeviationScaling implements OutlierScalingFunction {
     } else {
       mean = fixedmean;
       Mean sqsum = new Mean();
-      Relation<Double> scores = or.getScores();
+      DoubleRelation scores = or.getScores();
       for (DBIDIter id = scores.iterDBIDs(); id.valid(); id.advance()) {
-        double val = scores.get(id);
+        double val = scores.doubleValue(id);
         if (!Double.isNaN(val) && !Double.isInfinite(val)) {
           sqsum.put((val - mean) * (val - mean));
         }