[scikit-learn] Getting the indexes of the data points after clustering using Kmeans

[prince gosavi]

Hi,
Thanks for your hint It just saved my day.

Regards,
Rajkumar

On Wed, Feb 21, 2018 at 4:28 PM, Christian Braune <
christian.braune79 at gmail.com> wrote:

> Hi,
>
> if you have your original points stored in a numpy array, you can get all
> points from a cluster i by doing the following:
>
> cluster_points = points[kmeans.labels_ == i]
>
> "kmeans.labels_" contains a list labels for each point.
> "kmeans.labels_ == i" creates a mask that selects only those points that
> belong to cluster i
> and the whole line then gives you the points, finally.
>
> BTW: the fit method has the raw points as input parameter, not the
> distance matrix.
>
> Regards,
>  Christian
>
> prince gosavi <princegosavi12 at gmail.com> schrieb am Mi., 21. Feb. 2018 um
> 11:16 Uhr:
>
>> Hi,
>> I have applied Kmeans clustering using the scikit library from
>>
>> kmeans=KMeans(max_iter=4,n_clusters=10,n_init=10).fit(euclidean_dist)
>>
>>  After applying the algorithm.I would like to get the data points in the
>> clusters so as to further use them to apply a model.
>>
>> Example:
>> kmeans.cluster_centers_[1]
>>
>> gives me distance array of all the data points.
>>
>> Is there any way around this available in scikit so as to get the data
>> points id/index.
>>
>> Regards
>> _______________________________________________
>> scikit-learn mailing list
>> scikit-learn at python.org
>> https://mail.python.org/mailman/listinfo/scikit-learn
>>
>
> _______________________________________________
> scikit-learn mailing list
> scikit-learn at python.org
> https://mail.python.org/mailman/listinfo/scikit-learn
>
>


-- 
Regards
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/scikit-learn/attachments/20180221/314e4828/attachment-0001.html>