[scikit-learn] Drawing contours in KMeans

[Mahmood Naderan]

I mean a circle/contour to group the points in a cluster for better
representation.
For example, if there are 6 six clusters, it will be more meaningful to
group large data points in a circle or contour.

Regards,
Mahmood




On Wed, Dec 9, 2020 at 11:49 AM Andrew Howe <ahowe42 at gmail.com> wrote:

> Contours generally indicate a third variable - often a probability
> density. Kmeans doesn't provide density estimates, so what precisely would
> you want the contours to represent?
>
> Andrew
>
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> On Wed, Dec 9, 2020 at 9:41 AM Mahmood Naderan <mahmood.nt at gmail.com>
> wrote:
>
>> Hi
>> I use the following code to highlight the cluster centers with some red
>> dots.
>>
>> kmeans = KMeans(n_clusters=6, init='k-means++', max_iter=100, n_init=10,
>> random_state=0)
>> pred_y = kmeans.fit_predict(a)
>> plt.scatter(a[:,0], a[:,1])
>> plt.scatter(kmeans.cluster_centers_[:, 0], kmeans.cluster_centers_[:, 1],
>> s=100, c='red')
>> plt.show()
>>
>> I would like to know if it is possible to draw contours over the
>> clusters. Is there any way for that?
>> Please let me know if there is a function or option in KMeans.
>>
>> Regards,
>> Mahmood
>>
>>
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