Rank: 152 based on 522 downloads (last 30 days) and 3 files submitted
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Hanchuan Peng

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23 Aug 2007 Mutual Information computation A self-contained package for computing mutual information, joint/conditional probability, entropy Author: Hanchuan Peng statistics, probability, mutual information, joint probability, conditional probabili..., mutual infromation co... 307 62
  • 4.57143
4.6 | 36 ratings
09 May 2007 minimum-redundancy maximum-relevance feature selection The source codes of minimum redundancy feature selection Author: Hanchuan Peng statistics, probability, minimumredundancy, feature selection, mutual information 85 11
  • 4.57143
4.6 | 7 ratings
19 Apr 2007 mRMR Feature Selection (using mutual information computation) This is a cross-platform version of mimimum-redundancy maximum-relevancy feature selection Author: Hanchuan Peng biotech, pharmaceutical, feature selection, minimum redundancy, maximum relevance 130 29
  • 4.73333
4.7 | 18 ratings
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05 Jul 2014 Mutual Information computation A self-contained package for computing mutual information, joint/conditional probability, entropy Author: Hanchuan Peng Haghighat, Mohammad

04 Jul 2014 minimum-redundancy maximum-relevance feature selection The source codes of minimum redundancy feature selection Author: Hanchuan Peng Yu

23 Jun 2014 Mutual Information computation A self-contained package for computing mutual information, joint/conditional probability, entropy Author: Hanchuan Peng C, saisakul

Hi All,

For those who can't run the demo file because of 'undefined function' error. You need to:

1) Run this command: list = dir('*.cpp');
to get the list of files.

2) For all the files in list, change log(2) to log(2.0). You can get all the files' names by:

for i=1:length(list)
list(i).name
end

2) Run 'makeosmex.m'

Now this should works like a dream.

06 Jun 2014 Mutual Information computation A self-contained package for computing mutual information, joint/conditional probability, entropy Author: Hanchuan Peng Pasha, Nawaz

I got following error, on running demo_mi.m

Undefined function 'estpab' for input arguments of type 'double'.

Error in mutualinfo (line 21)
[p12, p1, p2] = estpab(vec1,vec2);

Error in demo_mi (line 25)
mutualinfo(a,b)

What's wrong ?

02 Jun 2014 Mutual Information computation A self-contained package for computing mutual information, joint/conditional probability, entropy Author: Hanchuan Peng Zeng, Hang

I also get the problem "Undefined function 'estpa' for input arguments of type 'double'". I find the estpa is cpp file which is a C++ file. I use Win8 62 bit application and Matlab 2011b. What's wrong with it?

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