[scikit-learn] Drawing contours in KMeans
mahmood.nt at gmail.com
Wed Dec 9 07:57:18 EST 2020
I mean a circle/contour to group the points in a cluster for better
For example, if there are 6 six clusters, it will be more meaningful to
group large data points in a circle or contour.
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?
> J. Andrew Howe, PhD
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> On Wed, Dec 9, 2020 at 9:41 AM Mahmood Naderan <mahmood.nt at gmail.com>
>> I use the following code to highlight the cluster centers with some red
>> kmeans = KMeans(n_clusters=6, init='k-means++', max_iter=100, n_init=10,
>> 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')
>> 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.
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