Import Debian changes 0.6.0~beta2-1

elki (0.6.0~beta2-1) unstable; urgency=low

  * New upstream beta release.
  * 3DPC extension is not yet included.

1 files changed, 6 insertions, 2 deletions

diff --git a/src/de/lmu/ifi/dbs/elki/math/dimensionsimilarity/DimensionSimilarity.java b/src/de/lmu/ifi/dbs/elki/math/dimensionsimilarity/DimensionSimilarity.java
index 6b01b3f3..d0c1a0bc 100644
--- a/src/de/lmu/ifi/dbs/elki/math/dimensionsimilarity/DimensionSimilarity.java
+++ b/src/de/lmu/ifi/dbs/elki/math/dimensionsimilarity/DimensionSimilarity.java
@@ -4,7 +4,7 @@ package de.lmu.ifi.dbs.elki.math.dimensionsimilarity;
  This file is part of ELKI:
  Environment for Developing KDD-Applications Supported by Index-Structures
 
- Copyright (C) 2012
+ Copyright (C) 2013
  Ludwig-Maximilians-Universität München
  Lehr- und Forschungseinheit für Datenbanksysteme
  ELKI Development Team
@@ -22,6 +22,7 @@ package de.lmu.ifi.dbs.elki.math.dimensionsimilarity;
  You should have received a copy of the GNU Affero General Public License
  along with this program.  If not, see <http://www.gnu.org/licenses/>.
  */
+import de.lmu.ifi.dbs.elki.database.Database;
 import de.lmu.ifi.dbs.elki.database.ids.DBIDs;
 import de.lmu.ifi.dbs.elki.database.relation.Relation;
 import de.lmu.ifi.dbs.elki.utilities.optionhandling.Parameterizable;
@@ -32,15 +33,18 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.Parameterizable;
  * 
  * @author Erich Schubert
  * 
+ * @apiviz.uses DimensionSimilarityMatrix - - «writes»
+ * 
  * @param <V> Object type
  */
 public interface DimensionSimilarity<V> extends Parameterizable {
   /**
    * Compute the dimension similarity matrix
    * 
+   * @param database Database context
    * @param relation Relation
    * @param subset DBID subset (for sampling / selection)
    * @param matrix Matrix to fill
    */
-  public void computeDimensionSimilarites(Relation<? extends V> relation, DBIDs subset, DimensionSimilarityMatrix matrix);
+  public void computeDimensionSimilarites(Database database, Relation<? extends V> relation, DBIDs subset, DimensionSimilarityMatrix matrix);
 }