python - I don't understand the k-means scipy algorithm -


i'm trying use scipy kmeans algorithm.

so have simple example:

from numpy import array scipy.cluster.vq import vq, kmeans, whiten features  = array([[3,4],[3,5],[4,2],[4,2]]) book = array((features[0],features[2])) final = kmeans(features,book)

and result is

final (array([[3, 4],        [4, 2]]), 0.25)

what don't understand is, me centroids coordinate should barycentre of points belongings cluster, in exemple

[3,9/2] , [4,2]

can explain me result scipy algorithm giving?

it looks preserving data type giving (int). try:

features  = array([[3., 4.], [3., 5.], [4., 2.], [4., 2.]])

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