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diff --git a/src/de/lmu/ifi/dbs/elki/data/VectorUtil.java b/src/de/lmu/ifi/dbs/elki/data/VectorUtil.java
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+package de.lmu.ifi.dbs.elki.data;
+/*
+This file is part of ELKI:
+Environment for Developing KDD-Applications Supported by Index-Structures
+
+Copyright (C) 2011
+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 java.util.Random;
+
+import de.lmu.ifi.dbs.elki.math.DoubleMinMax;
+import de.lmu.ifi.dbs.elki.math.MathUtil;
+
+/**
+ * Utility functions for use with vectors.
+ * 
+ * Note: obviously, many functions are class methods or database related.
+ * 
+ * @author Erich Schubert
+ * 
+ * @apiviz.uses de.lmu.ifi.dbs.elki.data.NumberVector
+ */
+public final class VectorUtil {
+  /**
+   * Return the range across all dimensions. Useful in particular for time series.
+   * 
+   * @param vec Vector to process.
+   * @param <V> Vector type 
+   * @return [min, max]
+   */
+  public static <V extends NumberVector<?, ?>> DoubleMinMax getRangeDouble(V vec) {
+    DoubleMinMax minmax = new DoubleMinMax();
+
+    for(int i = 0; i < vec.getDimensionality(); i++) {
+      minmax.put(vec.doubleValue(i + 1));
+    }
+
+    return minmax;
+  }
+
+  /**
+   * Produce a new vector based on random numbers in [0:1] of the same type and
+   * dimensionality as the given vector.
+   * 
+   * @param template existing instance of wanted dimensionality.
+   * @param r Random generator
+   * @return new instance
+   */
+  public static <V extends NumberVector<V, ?>> V randomVector(V template, Random r) {
+    return template.newInstance(MathUtil.randomDoubleArray(template.getDimensionality(), r));
+  }
+
+  /**
+   * Produce a new vector based on random numbers in [0:1] of the same type and
+   * dimensionality as the given vector.
+   * 
+   * @param template existing instance of wanted dimensionality.
+   * @return new instance
+   */
+  public static <V extends NumberVector<V, ?>> V randomVector(V template) {
+    return randomVector(template, new Random());
+  }
+}
+\ No newline at end of file