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diff --git a/src/de/lmu/ifi/dbs/elki/data/projection/NumericalFeatureSelection.java b/src/de/lmu/ifi/dbs/elki/data/projection/NumericalFeatureSelection.java
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+package de.lmu.ifi.dbs.elki.data.projection;
+/*
+ This file is part of ELKI:
+ Environment for Developing KDD-Applications Supported by Index-Structures
+
+ Copyright (C) 2012
+ Ludwig-Maximilians-Universität München
+ Lehr- und Forschungseinheit für Datenbanksysteme
+ ELKI Development Team
+
+ This program is free software: you can redistribute it and/or modify
+ it under the terms of the GNU Affero General Public License as published by
+ the Free Software Foundation, either version 3 of the License, or
+ (at your option) any later version.
+
+ This program is distributed in the hope that it will be useful,
+ but WITHOUT ANY WARRANTY; without even the implied warranty of
+ MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ GNU Affero General Public License for more details.
+
+ 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.data.NumberVector;
+import de.lmu.ifi.dbs.elki.data.type.SimpleTypeInformation;
+import de.lmu.ifi.dbs.elki.data.type.TypeInformation;
+import de.lmu.ifi.dbs.elki.data.type.VectorTypeInformation;
+import de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.ArrayLikeUtil;
+import de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.NumberArrayAdapter;
+import de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.SubsetArrayAdapter;
+
+/**
+ * Projection class for number vectors.
+ * 
+ * @author Erich Schubert
+ * 
+ * @param <V> Vector type
+ * @param <N> Number type
+ */
+public class NumericalFeatureSelection<V extends NumberVector<V, N>, N extends Number> extends AbstractFeatureSelection<V, N> {
+  /**
+   * Minimum dimensionality required for projection
+   */
+  private int mindim;
+
+  /**
+   * Object factory
+   */
+  private V factory;
+
+  /**
+   * Output dimensionality
+   */
+  private int dimensionality;
+
+  /**
+   * Constructor.
+   * 
+   * @param dims Dimensions
+   * @param factory Object factory
+   */
+  public NumericalFeatureSelection(int[] dims, V factory) {
+    super(new SubsetArrayAdapter<N, V>(getAdapter(factory), dims));
+    this.factory = factory;
+    this.dimensionality = dims.length;
+
+    int mindim = 0;
+    for(int dim : dims) {
+      mindim = Math.max(mindim, dim + 1);
+    }
+    this.mindim = mindim;
+  }
+
+  /**
+   * Choose the best adapter for this.
+   * 
+   * @param factory Object factory, for type inference
+   * @return Adapter
+   */
+  private static <V extends NumberVector<V, N>, N extends Number> NumberArrayAdapter<N, ? super V> getAdapter(V factory) {
+    return ArrayLikeUtil.numberVectorAdapter(factory);
+  }
+
+  @SuppressWarnings("unchecked")
+  @Override
+  public V project(V data) {
+    return factory.newNumberVector(data, (NumberArrayAdapter<N, ? super V>) adapter);
+  }
+
+  @Override
+  public SimpleTypeInformation<V> getOutputDataTypeInformation() {
+    @SuppressWarnings("unchecked")
+    final Class<V> cls = (Class<V>) factory.getClass();
+    return new VectorTypeInformation<V>(cls, dimensionality, dimensionality);
+  }
+
+  @Override
+  public TypeInformation getInputDataTypeInformation() {
+    @SuppressWarnings("unchecked")
+    final Class<V> cls = (Class<V>) factory.getClass();
+    return new VectorTypeInformation<V>(cls, mindim, Integer.MAX_VALUE);
+  }
+}
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