1 files changed, 10 insertions, 12 deletions
diff --git a/src/de/lmu/ifi/dbs/elki/math/linearalgebra/pca/RANSACCovarianceMatrixBuilder.java b/src/de/lmu/ifi/dbs/elki/math/linearalgebra/pca/RANSACCovarianceMatrixBuilder.java
index 2b369a32..f5bff525 100644
--- a/src/de/lmu/ifi/dbs/elki/math/linearalgebra/pca/RANSACCovarianceMatrixBuilder.java
+++ b/src/de/lmu/ifi/dbs/elki/math/linearalgebra/pca/RANSACCovarianceMatrixBuilder.java
@@ -4,7 +4,7 @@ package de.lmu.ifi.dbs.elki.math.linearalgebra.pca;
  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
@@ -33,8 +33,8 @@ import de.lmu.ifi.dbs.elki.database.relation.RelationUtil;
 import de.lmu.ifi.dbs.elki.math.linearalgebra.CovarianceMatrix;
 import de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix;
 import de.lmu.ifi.dbs.elki.math.linearalgebra.Vector;
+import de.lmu.ifi.dbs.elki.math.random.RandomFactory;
 import de.lmu.ifi.dbs.elki.math.statistics.distribution.ChiSquaredDistribution;
-import de.lmu.ifi.dbs.elki.utilities.RandomFactory;
 import de.lmu.ifi.dbs.elki.utilities.documentation.Reference;
 import de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer;
 import de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID;
@@ -72,11 +72,11 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.RandomParameter;
  * </p>
  * 
  * @author Erich Schubert
- * 
- * @param <V> Vector type
  */
-@Reference(authors = "Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek", title = "Outlier Detection in Arbitrarily Oriented Subspaces", booktitle = "Proc. IEEE International Conference on Data Mining (ICDM 2012)")
-public class RANSACCovarianceMatrixBuilder<V extends NumberVector<?>> extends AbstractCovarianceMatrixBuilder<V> {
+@Reference(authors = "Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek", //
+title = "Outlier Detection in Arbitrarily Oriented Subspaces", //
+booktitle = "Proc. IEEE International Conference on Data Mining (ICDM 2012)")
+public class RANSACCovarianceMatrixBuilder extends AbstractCovarianceMatrixBuilder {
   /**
    * Number of iterations to perform
    */
@@ -101,7 +101,7 @@ public class RANSACCovarianceMatrixBuilder<V extends NumberVector<?>> extends Ab
 
   @Reference(title = "Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography", authors = "M.A. Fischler, R.C. Bolles", booktitle = "Communications of the ACM, Vol. 24 Issue 6", url = "http://dx.doi.org/10.1145/358669.358692")
   @Override
-  public Matrix processIds(DBIDs ids, Relation<? extends V> relation) {
+  public Matrix processIds(DBIDs ids, Relation<? extends NumberVector> relation) {
     final int dim = RelationUtil.dimensionality(relation);
 
     DBIDs best = DBIDUtil.EMPTYDBIDS;
@@ -144,10 +144,8 @@ public class RANSACCovarianceMatrixBuilder<V extends NumberVector<?>> extends Ab
    * @author Erich Schubert
    * 
    * @apiviz.exclude
-   * 
-   * @param <V> Vector type
    */
-  public static class Parameterizer<V extends NumberVector<?>> extends AbstractParameterizer {
+  public static class Parameterizer extends AbstractParameterizer {
     /**
      * Number of iterations.
      */
@@ -183,8 +181,8 @@ public class RANSACCovarianceMatrixBuilder<V extends NumberVector<?>> extends Ab
     }
 
     @Override
-    protected RANSACCovarianceMatrixBuilder<V> makeInstance() {
-      return new RANSACCovarianceMatrixBuilder<>(iterations, rnd);
+    protected RANSACCovarianceMatrixBuilder makeInstance() {
+      return new RANSACCovarianceMatrixBuilder(iterations, rnd);
     }
   }
 }