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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) 2015
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
* @since 0.5.0
*/
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);
}
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