Given a fitted KMeans named "km", and a numpy array of documents, to get a
list of documents associated with cluster i:
documents[np.where(km.labels_ == i)]
Not sure what you mean by "a list of cluster terms", though (a list of all
terms from all docs associated with a given cluster?)...
On 31 January 2013 15:26, Robert Layton <[email protected]> wrote:
> On 1 February 2013 10:20, Vinay B, <[email protected]> wrote:
>
>> Another newbie question.
>>
>> I'm not referring to a confusion matrix or similar summary. Rather, If
>> I had a number of documents clustered using (say KMeans) into 3
>> clusters, .. how could I access
>> 1. each cluster and a list of cluster terms?
>> 2. a list of documents associated with each cluster?
>>
>>
>> Thanks
>>
>>
>> ------------------------------------------------------------------------------
>> Everyone hates slow websites. So do we.
>> Make your web apps faster with AppDynamics
>> Download AppDynamics Lite for free today:
>> http://p.sf.net/sfu/appdyn_d2d_jan
>> _______________________________________________
>> Scikit-learn-general mailing list
>> [email protected]
>> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
>>
>
>
> The `labels_` attribute of a trained clustering model gives the cluster
> numbers for each document.
> They are ordered, so you can get the cluster number of the ith document
> using:
>
> model.labels_[i]
>
> And the corresponding document is simply:
>
> documents[i]
>
> --
>
> Public key at: http://pgp.mit.edu/ Search for this email address and
> select the key from "2011-08-19" (key id: 54BA8735)
>
>
> ------------------------------------------------------------------------------
> Everyone hates slow websites. So do we.
> Make your web apps faster with AppDynamics
> Download AppDynamics Lite for free today:
> http://p.sf.net/sfu/appdyn_d2d_jan
> _______________________________________________
> Scikit-learn-general mailing list
> [email protected]
> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
>
>
------------------------------------------------------------------------------
Everyone hates slow websites. So do we.
Make your web apps faster with AppDynamics
Download AppDynamics Lite for free today:
http://p.sf.net/sfu/appdyn_d2d_jan
_______________________________________________
Scikit-learn-general mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
