diff options
Diffstat (limited to 'src/de/lmu/ifi/dbs/elki/datasource/filter/SparseFloatVectorProjectionFilter.java')
| -rw-r--r-- | src/de/lmu/ifi/dbs/elki/datasource/filter/SparseFloatVectorProjectionFilter.java | 9 |
1 files changed, 4 insertions, 5 deletions
diff --git a/src/de/lmu/ifi/dbs/elki/datasource/filter/SparseFloatVectorProjectionFilter.java b/src/de/lmu/ifi/dbs/elki/datasource/filter/SparseFloatVectorProjectionFilter.java index 7bbbab2d..06e686c3 100644 --- a/src/de/lmu/ifi/dbs/elki/datasource/filter/SparseFloatVectorProjectionFilter.java +++ b/src/de/lmu/ifi/dbs/elki/datasource/filter/SparseFloatVectorProjectionFilter.java @@ -3,7 +3,7 @@ package de.lmu.ifi.dbs.elki.datasource.filter; This file is part of ELKI: Environment for Developing KDD-Applications Supported by Index-Structures -Copyright (C) 2011 +Copyright (C) 2012 Ludwig-Maximilians-Universität München Lehr- und Forschungseinheit für Datenbanksysteme ELKI Development Team @@ -22,9 +22,9 @@ 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 gnu.trove.map.hash.TIntFloatHashMap;
+
import java.util.BitSet;
-import java.util.Collections;
-import java.util.Map;
import de.lmu.ifi.dbs.elki.data.SparseFloatVector;
import de.lmu.ifi.dbs.elki.data.type.SimpleTypeInformation;
@@ -40,7 +40,6 @@ import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.Parameteriz * </p>
*
* @author Arthur Zimek
- *
*/
public class SparseFloatVectorProjectionFilter extends AbstractFeatureSelectionFilter<SparseFloatVector> {
/**
@@ -64,7 +63,7 @@ public class SparseFloatVectorProjectionFilter extends AbstractFeatureSelectionF @Override
protected SimpleTypeInformation<? super SparseFloatVector> convertedType(SimpleTypeInformation<SparseFloatVector> in) {
- final Map<Integer, Float> emptyMap = Collections.emptyMap();
+ final TIntFloatHashMap emptyMap = new TIntFloatHashMap();
return new VectorFieldTypeInformation<SparseFloatVector>(SparseFloatVector.class, getDimensionality(), new SparseFloatVector(emptyMap, getDimensionality()));
}
|