Description:

A mutual information library for C and Mex bindings for MATLAB.

This toolbox is aimed at people who wish to use mutual information for feature selection, and provides a range of information theoretic functions. All functions estimate the probabilities from the supplied data vectors. Some example implementations of common mutual information based feature selection algorithms are provided in both C and MATLAB, CMIM - (Fleuret 2004), mRMR - (Peng et al 2005), DISR - (Bontempi & Meyer 2006).

All functions discretise the inputs by rounding down to the nearest integer.

List of functions: Entropy, Conditional Entropy, Joint Entropy Mutual Information, Conditional Mutual Information Renyi's Entropy, Renyi's Mutual Information Creating a joint random variable

Changes to previous version:

Initial Announcement on mloss.org.

BibTeX Entry: Download

Supported Operating Systems: Linux, Macosx, Windows

Data Formats: Matlab

Tags: Conditional Entropy, Conditional Mutual Information, Entropy, Mutual Information, Renyi Entropy

Archive: download here

Comments

Aida Brank (on September 22, 2016, 20:11:50)

Hello, I have following error: Undefined function or variable 'FSToolboxMex'. Error in feast (line 70) selectedFeatures = FSToolboxMex(4,numToSelect,data,labels); though I did as I run ComlileMIToolbox.m in MIToolbox directory. Thanks!!! Regards

Adam Pocock (on September 22, 2016, 22:09:08)

Hi Aida, That error means you haven't compiled FEAST correctly. You need to compile both FEAST and MIToolbox separately. Thanks, Adam

Fazeelat Mazhar (on February 7, 2017, 08:54:10)

Hi Adam, I am facing error in running CompileMIToolbox.m file on MATLAB. Error is: Error using mex CalculateProbability.c C:\Users\Fazeelat\Downloads\MIToolbox-3.0.0\MIToolbox-3.0.0\src\CalculateProbability.c(271) : error C2275: 'ProbabilityState' : illegal use of this type as an expression ../include\MIToolbox/CalculateProbability.h(40) : see declaration of 'ProbabilityState' C:\Users\Fazeelat\Downloads\MIToolbox-3.0.0\MIToolbox-3.0.0\src\CalculateProbability.c(271) : error C2146: syntax error : missing ';' before identifier 'state' C:\Users\Fazeelat\Downloads\MIToolbox-3.0.0\MIToolbox-3.0.0\src\CalculateProbability.c(271) : error C2065: 'state' : undeclared identifier C:\Users\Fazeelat\Downloads\MIToolbox-3.0.0\MIToolbox-3.0.0\src\CalculateProbability.c(271) : error C2440: '=' : cannot convert from 'ProbabilityState' to 'int' C:\Users\Fazeelat\Downloads\MIToolbox-3.0.0\MIToolbox-3.0.0\src\CalculateProbability.c(276) : error C2065: 'state' : undeclared identifier C:\Users\Fazeelat\Downloads\MIToolbox-3.0.0\MIToolbox-3.0.0\src\CalculateProbability.c(276) : error C2440: 'return' : cannot convert from 'int' to 'ProbabilityState'

Adam Pocock (on February 7, 2017, 14:58:04)

Hi Fazeelat, What C compiler, Matlab version and Windows version are you using? Thanks, Adam

Fazeelat Mazhar (on February 8, 2017, 05:02:06)

C compiler, Microsoft Visual studio 2010 Matlab version 8.4 Windows 8.1

Adam Pocock (on February 9, 2017, 02:41:55)

Hi Fazeelat, Turns out there was one place where I didn't strictly follow ANSI C. GCC wasn't throwing an error, but apparently Visual Studio does. I've fixed it now, can you try version 3.0.1 from [my GitHub page](https://github.com/Craigacp/MIToolbox/releases/tag/v3.0.1). Thanks, Adam

Fazeelat Mazhar (on February 9, 2017, 06:20:30)

Thanks Adam, that error has been fixed. Another error of out of memory appeared while finding MI of two matrices. My dataset is a bit large dimension i.e.,146X16. Can you help?

Adam Pocock (on February 9, 2017, 16:08:59)

Hi Fazeelat, MIToolbox isn't really suitable for that kind of mutual information estimation. You need many more samples to do discrete entropy estimation in a 16 dimensional space, and the mutual information will work in a 32 dimensional space (assuming both your matrices are the same size). If you have a continuous space you might have more luck with a continuous MI estimator using a k-nn or minimum spanning tree approximation, but MIToolbox doesn't implement either of those. I think Zoltan Szabo's [ITE toolkit](https://bitbucket.org/szzoli/ite/) might be more appropriate. Thanks, Adam

Fazeelat Mazhar (on February 10, 2017, 07:05:12)

Thanks Adam.

Janek Janek (on February 20, 2017, 18:56:54)

Adam. Please Help me. This problem http://s1.fotowrzut.pl/YLV6QVY97K/1.jpg Matlab R2016a Windows7 I try wersion 3.0.1 Help

Adam Pocock (on February 20, 2017, 19:14:21)

Hi Janek, Please check that CompileFEAST is pointing at v3.0.1 of MIToolbox. The version that is packaged in the MLOSS download is v3.0.0 which has that bug. You'll need to download MIToolbox v3.0.1 from Github and unpack it in the directory next to FEAST. Thanks, Adam

Janek Janek (on February 20, 2017, 19:51:15)

Adam, Help Gee I do not understand You can check it's toolbox I use this http://s1.fotowrzut.pl/O2V2AUIRNB/1.jpg http://s1.fotowrzut.pl/61GMCSFD4I/1.jpg http://www82.zippyshare.com/v/BSJx3Xlk/file.html Please check whether it is good in the toolbox Thanks, Janek

Adam Pocock (on February 20, 2017, 20:04:32)

Hi Janek, You haven't unpacked the updated version of MIToolbox in the right directory. The error message from MATLAB shows it's looking in the directory above FEAST, not inside the FEAST directory. The zip you sent compiles fine on my Linux box from within the FEAST/matlab directory. I don't have access to a copy of Matlab on Windows with Visual Studio to test it out further. Thanks, Adam

Janek Janek (on February 20, 2017, 20:36:48)

Hi Adam, I fixed thanks for your help. http://s1.fotowrzut.pl/LKXJ3BQIDV/1.jpg Thanks, Janek

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