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diff --git a/src/de/lmu/ifi/dbs/elki/math/statistics/dependence/DependenceMeasure.java b/src/de/lmu/ifi/dbs/elki/math/statistics/dependence/DependenceMeasure.java
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+++ b/src/de/lmu/ifi/dbs/elki/math/statistics/dependence/DependenceMeasure.java
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+package de.lmu.ifi.dbs.elki.math.statistics.dependence;
+
+/*
+ This file is part of ELKI:
+ Environment for Developing KDD-Applications Supported by Index-Structures
+
+ Copyright (C) 2014
+ 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.List;
+
+import de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.NumberArrayAdapter;
+
+/**
+ * Measure the dependence of two variables.
+ * 
+ * @author Erich Schubert
+ */
+public interface DependenceMeasure {
+  /**
+   * Measure the dependence of two variables.
+   * 
+   * This is the more flexible API, which allows using different internal data
+   * representations.
+   * 
+   * @param adapter1 First data adapter
+   * @param data1 First data set
+   * @param adapter2 Second data adapter
+   * @param data2 Second data set
+   * @param <A> First array type
+   * @param <B> Second array type
+   * @return Dependence measure
+   */
+  <A, B> double dependence(NumberArrayAdapter<?, A> adapter1, A data1, NumberArrayAdapter<?, B> adapter2, B data2);
+
+  /**
+   * Measure the dependence of two variables.
+   * 
+   * This is the more flexible API, which allows using different internal data
+   * representations.
+   * 
+   * @param adapter Array type adapter
+   * @param data1 First data set
+   * @param data2 Second data set
+   * @param <A> Array type
+   * @return Dependence measure
+   */
+  <A> double dependence(NumberArrayAdapter<?, A> adapter, A data1, A data2);
+
+  /**
+   * Measure the dependence of two variables.
+   * 
+   * This is the more flexible API, which allows using different internal data
+   * representations.
+   *
+   * The resulting data is a serialized lower triangular matrix:
+   * 
+   * <pre>
+   *  X  S  S  S  S  S
+   *  0  X  S  S  S  S
+   *  1  2  X  S  S  S
+   *  3  4  5  X  S  S
+   *  6  7  8  9  X  S
+   * 10 11 12 13 14  X
+   * </pre>
+   * 
+   * @param adapter Data adapter
+   * @param data Data sets. Must have fast random access!
+   * @param <A> Array type
+   * @return Lower triangular serialized matrix
+   */
+  <A> double[] dependence(NumberArrayAdapter<?, A> adapter, List<? extends A> data);
+
+  /**
+   * Measure the dependence of two variables.
+   * 
+   * @param data1 First data set
+   * @param data2 Second data set
+   * @return Dependence measure
+   */
+  double dependence(double[] data1, double[] data2);
+}