Rank: 62 based on 547 downloads (last 30 days) and 3 files submitted
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Hanchuan Peng

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Files Posted by Hanchuan View all
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(last 30 days) 		Comments Rating
23 Aug 2007 Mutual Information computation A self-contained package for computing mutual information, joint/conditional probability, entropy Author: Hanchuan Peng mutual information, joint probability, mutual infromation co..., conditional probabili..., probability, a nice piece of work 320 54
  • 4.7
4.7 | 31 ratings
09 May 2007 minimum-redundancy maximum-relevance feature selection The source codes of minimum redundancy feature selection Author: Hanchuan Peng feature selection, mutual information, minimumredundancy, probability, statistics 82 6
  • 4.6
4.6 | 5 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 feature selection, minimum redundancy, biotech, pharmaceutical, maximum relevance 145 22
  • 4.71429
4.7 | 15 ratings
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10 Jun 2013 Mutual Information computation A self-contained package for computing mutual information, joint/conditional probability, entropy Author: Hanchuan Peng Yang, Lei

good
05 Jun 2013 mRMR Feature Selection (using mutual information computation) This is a cross-platform version of mimimum-redundancy maximum-relevancy feature selection Author: Hanchuan Peng nayeff

Hi Prof. Peng,
Thank you for the code. I am trying to understand what is the difference between mrmr_miq_d and mrmr_mid_d. Whould you please explain?

Regards,

03 May 2013 Mutual Information computation A self-contained package for computing mutual information, joint/conditional probability, entropy Author: Hanchuan Peng Silva, Pedro

btw, I'm running Matlab 64-bit with linux, which process limit is 8 TB
30 Apr 2013 minimum-redundancy maximum-relevance feature selection The source codes of minimum redundancy feature selection Author: Hanchuan Peng Malviya, Tripti

Please tell me how to use it.
I have the term-document matrix(i used tmg tool box to generate it) of type double and i m unable to pass it as the first parameter to the function in mrmr_mid_d.m .
I have to apply this on a text data set.
Please help!!
05 Mar 2013 Mutual Information computation A self-contained package for computing mutual information, joint/conditional probability, entropy Author: Hanchuan Peng Davis

Maybe I'm missing something, but I think this code produces weird behavior with vectors of low values, e.g. returning entropy of 0 for [1:10] * .0001.

Run this code and see for yourself:
a = [];
for i = 1:20e4
a(i) = entropy([1:10] .* i/10e4);
end
plot(a)
set(gca,'xticklabel',[0:.2:2])
ylabel('Est. Entropy')
xlabel('Scaling factor')
Top Tags Applied by Hanchuan
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feature selection, mutual information, probability, statistics, biotech
Files Tagged by Hanchuan View all
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Updated   File Tags Downloads
(last 30 days) 		Comments Rating
23 Aug 2007 Mutual Information computation A self-contained package for computing mutual information, joint/conditional probability, entropy Author: Hanchuan Peng mutual information, joint probability, mutual infromation co..., conditional probabili..., probability, a nice piece of work 320 54
  • 4.7
4.7 | 31 ratings
09 May 2007 minimum-redundancy maximum-relevance feature selection The source codes of minimum redundancy feature selection Author: Hanchuan Peng feature selection, mutual information, minimumredundancy, probability, statistics 82 6
  • 4.6
4.6 | 5 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 feature selection, minimum redundancy, biotech, pharmaceutical, maximum relevance 145 22
  • 4.71429
4.7 | 15 ratings

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