usually, statistically speaking, you compute the MI score to see to which
extent is your observed frequency of cooccurrence different from what you
would expect, so labels_true and labels_predict.
On Tue, Sep 30, 2014 at 7:13 PM, Pagliari, Roberto <rpagli...@appcomsci.com>
wrote:
> I’m a little confused by the description of mutual information score.
>
>
>
> What is the meaning of clustering, and why are the inputs called
> labels_true and labels_predict.
>
>
>
> Shouldn’t mutual info be computed between two generic vectors X and Y?
>
>
>
> Thanks,
>
>
>
>
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--
Emanuela Boros
CEA-List, LVIC
LIMSI-CNRS
Université Paris-Sud
Orsay, France
Tel. : +33652174595
Email : emanuela.boros@{cea.fr,limsi.fr,u-psud.fr,gmail.com}
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