k-d partitioning entropy estimator: A fast estimator for the entropy of multidimensional data distributions. Written in C, can be used from C/C++, Python, Matlab or Octave.
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kdpee
mat_oct
python
src
COPYING
INSTALL
NEWS
README
VERSION
bundle_me_up

README

 "kdpee", k-d partitioning entropy estimator.
 (c) 2008-2009 Dan Stowell and Queen Mary University of London.
 All rights reserved.

This package contains the entropy estimator described in 

    D. Stowell and M. D. Plumbley
    Fast multidimensional entropy estimation by k-d partitioning.
    IEEE Signal Processing Letters 16 (6), 537--540, June 2009.
    http://dx.doi.org/10.1109/LSP.2009.2017346

The estimator is written in C and so should be easily usable in any C/C++
software, as well as in other languages that can call upon C.

This package also contains wrappers which allow the code to be used from
Matlab, GNU Octave, or Python (numpy).


INSTALLATION:

For installation instructions, please see the file named INSTALL.


CONTENTS:

The folders in this package contain:

 * src     - the kdpee source code
 * kdpee   - the kdpee header file
 * mat_oct - the wrapper for matlab / gnu octave
 * python  - the wrapper for python (numpy)


LICENSE:

This package is distributed under the terms of the GNU General Public 
License, version 3 or (at your option) any later version. For the text
of the license please see the file named COPYING.