1 files changed, 8 insertions, 5 deletions
diff --git a/src/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuMedianAlgorithm.java b/src/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuMedianAlgorithm.java
index 9b4534fe..20ab9a00 100644
--- a/src/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuMedianAlgorithm.java
+++ b/src/de/lmu/ifi/dbs/elki/algorithm/outlier/spatial/CTLuMedianAlgorithm.java
@@ -31,6 +31,7 @@ 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.DBID;
+import de.lmu.ifi.dbs.elki.database.ids.DBIDIter;
 import de.lmu.ifi.dbs.elki.database.ids.DBIDs;
 import de.lmu.ifi.dbs.elki.database.relation.MaterializedRelation;
 import de.lmu.ifi.dbs.elki.database.relation.Relation;
@@ -94,18 +95,19 @@ public class CTLuMedianAlgorithm<N> extends AbstractNeighborhoodOutlier<N> {
     WritableDoubleDataStore scores = DataStoreUtil.makeDoubleStorage(relation.getDBIDs(), DataStoreFactory.HINT_STATIC);
 
     MeanVariance mv = new MeanVariance();
-    for(DBID id : relation.iterDBIDs()) {
+    for(DBIDIter iditer = relation.iterDBIDs(); iditer.valid(); iditer.advance()) {
+      DBID id  = iditer.getDBID();
       DBIDs neighbors = npred.getNeighborDBIDs(id);
       final double median;
       {
         double[] fi = new double[neighbors.size()];
         // calculate and store Median of neighborhood
         int c = 0;
-        for(DBID n : neighbors) {
-          if(id.equals(n)) {
+        for(DBIDIter iter = neighbors.iter(); iter.valid(); iter.advance()) {
+          if(id.sameDBID(iter)) {
             continue;
           }
-          fi[c] = relation.get(n).doubleValue(1);
+          fi[c] = relation.get(iter).doubleValue(1);
           c++;
         }
 
@@ -125,7 +127,8 @@ public class CTLuMedianAlgorithm<N> extends AbstractNeighborhoodOutlier<N> {
     final double mean = mv.getMean();
     final double stddev = mv.getNaiveStddev();
     DoubleMinMax minmax = new DoubleMinMax();
-    for(DBID id : relation.iterDBIDs()) {
+    for(DBIDIter iditer = relation.iterDBIDs(); iditer.valid(); iditer.advance()) {
+      DBID id  = iditer.getDBID();
       double score = Math.abs((scores.doubleValue(id) - mean) / stddev);
       minmax.put(score);
       scores.putDouble(id, score);