scipy kmeans — how to get actual threshold between clusters

Question

Using scipy kmeans I can get the centroids of my clusters with

centroids, variance = kmeans(pixel,3)

and also an array showing which value is assigned to which cluster:

code, distance = vq(features, centroids)

But how do I get the actual threshold values separating the clusters from each other? Is there any variable or command containing these?

thanks for any advice

Answer 1

K-means does not use numerical thresholds.

Every point belongs to the closest cluster, so the "threshold" is the hyperplane (see " Voronoi diagram " in Wikipedia) inbetween of the two nearest cluster centers.