1 files changed, 6 insertions, 5 deletions

diff --git a/src/de/lmu/ifi/dbs/elki/algorithm/outlier/trivial/TrivialAverageCoordinateOutlier.java b/src/de/lmu/ifi/dbs/elki/algorithm/outlier/trivial/TrivialAverageCoordinateOutlier.java
index 6f2f2f38..dbf338f1 100644
--- a/src/de/lmu/ifi/dbs/elki/algorithm/outlier/trivial/TrivialAverageCoordinateOutlier.java
+++ b/src/de/lmu/ifi/dbs/elki/algorithm/outlier/trivial/TrivialAverageCoordinateOutlier.java
@@ -4,7 +4,7 @@ package de.lmu.ifi.dbs.elki.algorithm.outlier.trivial;
  This file is part of ELKI:
  Environment for Developing KDD-Applications Supported by Index-Structures
 
- Copyright (C) 2012
+ Copyright (C) 2014
  Ludwig-Maximilians-Universität München
  Lehr- und Forschungseinheit für Datenbanksysteme
  ELKI Development Team
@@ -32,7 +32,8 @@ import de.lmu.ifi.dbs.elki.database.datastore.DataStoreFactory;
 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.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.logging.Logging;
 import de.lmu.ifi.dbs.elki.math.DoubleMinMax;
@@ -72,13 +73,13 @@ public class TrivialAverageCoordinateOutlier extends AbstractAlgorithm<OutlierRe
    * @param relation Relation
    * @return Result
    */
-  public OutlierResult run(Relation<? extends NumberVector<?>> relation) {
+  public OutlierResult run(Relation<? extends NumberVector> relation) {
     WritableDoubleDataStore scores = DataStoreUtil.makeDoubleStorage(relation.getDBIDs(), DataStoreFactory.HINT_HOT);
     DoubleMinMax minmax = new DoubleMinMax();
     Mean m = new Mean();
     for(DBIDIter iditer = relation.iterDBIDs(); iditer.valid(); iditer.advance()) {
       m.reset();
-      NumberVector<?> nv = relation.get(iditer);
+      NumberVector nv = relation.get(iditer);
       for (int i = 0; i < nv.getDimensionality(); i++) {
         m.put(nv.doubleValue(i));
       }
@@ -86,7 +87,7 @@ public class TrivialAverageCoordinateOutlier extends AbstractAlgorithm<OutlierRe
       scores.putDouble(iditer, score);
       minmax.put(score);
     }
-    Relation<Double> scoreres = new MaterializedRelation<>("Trivial mean score", "mean-outlier", TypeUtil.DOUBLE, scores, relation.getDBIDs());
+    DoubleRelation scoreres = new MaterializedDoubleRelation("Trivial mean score", "mean-outlier", scores, relation.getDBIDs());
     OutlierScoreMeta meta = new BasicOutlierScoreMeta(minmax.getMin(), minmax.getMax());
     return new OutlierResult(meta, scoreres);
   }