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Normalized Mutual Information

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4.4 | 5 ratings Rate this file 59 Downloads (last 30 days) File Size: 1.45 KB File ID: #29047 Version: 1.0

Normalized Mutual Information

by

Mo Chen (view profile)

 

Fully vectorized implementation normalized mutual information

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Description

Normalized mutual information is often used for evaluating clustering result, information retrieval, feature selection etc. This is a optimized implementation of the function which has no for loops.

Acknowledgements

This file inspired Information Theory Toolbox.

MATLAB release MATLAB 7.11 (R2010b)
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Comments and Ratings (11)
25 Mar 2015 samira rahimi  
15 Dec 2014 Ori

Ori (view profile)

Hello,
Why is it important to verify the integrity of results, i.e. length(labels)==length(results)?

Isn't it possible to use nmi for clustering with k that is different from number of labels?

I changed the script for my use so that it will accept this. should I upload?

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11 Sep 2014 Jianxiong Chen

please add more comments, especially for the inputs. Thanks

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01 Jul 2014 bao dinh

a

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08 Nov 2013 Kelvin Wong

It doesn't work for large matrix as it rans out of memory in line 16 and 17.

11 Aug 2013 yang

yang (view profile)

 
29 Dec 2011 Eric Chen

grateful if more comments provided

21 Nov 2011 Artur Abdullin

Good job, I used your function to validate mine :). Sometime in research you cannot trust even yourself.

07 Sep 2011 Md. Ali Hossain

Can you give a detailed docomented .m file so that we can have a easy understanding of NMI.

Thanks
Ali

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23 Jun 2011 NR P

NR P (view profile)

I agree, an example... and a little description of the inputs would be strongly appreciated! Thank you!

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23 Jun 2011 Zhi

Zhi (view profile)

Could you provide some examples of running your code to prove it is correct?

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