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/*******************************************************************************
** RenyiMutualInformation.h
** Part of the mutual information toolbox
**
** Contains functions to calculate the Renyi mutual information of
** two variables X and Y, I_\alpha(X;Y), using the Renyi alpha divergence and
** the joint entropy difference
**
** Author: Adam Pocock
** Created 26/3/2010
**
** Copyright 2010 Adam Pocock, The University Of Manchester
** www.cs.manchester.ac.uk
**
** This file is part of MIToolbox.
**
** MIToolbox is free software: you can redistribute it and/or modify
** it under the terms of the GNU Lesser General Public License as published by
** the Free Software Foundation, either version 3 of the License, or
** (at your option) any later version.
**
** MIToolbox 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 Lesser General Public License for more details.
**
** You should have received a copy of the GNU Lesser General Public License
** along with MIToolbox. If not, see <http://www.gnu.org/licenses/>.
**
*******************************************************************************/
#ifndef __Renyi_MutualInformation_H
#define __Renyi_MutualInformation_H
#ifdef __cplusplus
extern "C" {
#endif
/*******************************************************************************
** calculateRenyiMIDivergence returns the log base 2 Renyi mutual information
** between dataVector and targetVector, I_{\alpha}(X;Y), for \alpha != 1
** This uses Renyi's generalised alpha divergence as the difference measure
** instead of the KL-divergence as in Shannon's Mutual Information
**
** length(dataVector) == length(targetVector) == vectorLength otherwise there
** will be a segmentation fault
*******************************************************************************/
double calculateRenyiMIDivergence(double alpha, double *dataVector, double *targetVector, int vectorLength);
/* This function returns a different value to the alpha divergence mutual
** information, and thus is not a correct mutual information
double calculateRenyiMIJoint(double alpha, double *dataVector, double *targetVector, int vectorLength);
*/
#ifdef __cplusplus
}
#endif
#endif
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