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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... 305 64
  • 4.48718
4.5 | 40 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 142 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 174 31
  • 4.73333
4.7 | 18 ratings
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05 Dec 2014 Mutual Information computation A self-contained package for computing mutual information, joint/conditional probability, entropy Author: Hanchuan Peng Andre Silva

Thanks for the submission.

I found that the mex files did not work for my computer. (Windows 7 x64). So I had to use the "mex -setup" to build mex files from the .cpp source files.

To do this all I did was edit all "log(2)" notations in all the .cpp files to "log(2.0)". I appreciate this suggestion from the previous comments here.

Hope this helps someone.

05 Dec 2014 Mutual Information computation A self-contained package for computing mutual information, joint/conditional probability, entropy Author: Hanchuan Peng Andre Silva

27 Oct 2014 Mutual Information computation A self-contained package for computing mutual information, joint/conditional probability, entropy Author: Hanchuan Peng Kyrion

14 Oct 2014 mRMR Feature Selection (using mutual information computation) This is a cross-platform version of mimimum-redundancy maximum-relevancy feature selection Author: Hanchuan Peng DSP

I have problem while using mRMR in MATLAB 2012b.
if I run mRMR then error:
the error:
Undefined function 'estpab' for input arguments of type 'nominal'.

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

Error in mrmr_miq_d (line 50)
t(i) = mutualinfo(d(:,i), f);

I have windows-7 64 bit system and MATLAB version 2012b. Please help .

25 Sep 2014 mRMR Feature Selection (using mutual information computation) This is a cross-platform version of mimimum-redundancy maximum-relevancy feature selection Author: Hanchuan Peng ahmed hamed

'm using this algorithm for the first time, but unable to run it.
I'm using matlab 12a
load fisheriris
f = mrmr_mid_d(meas, species, 2)
but i got an error:
undefined function 'mrmr_mid_d' for input arguments of type cell
I also tried another data set where the class is a double matrix and got the same error: undefined function 'mrmr_mid_d' for input arguments of type double
please help.

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