Grade K means clustering using python

Question

I have a dataset a bit like this:

I performed K clustering using this code:

from scipy.cluster.vq import kmeans, vq
data=np.matrix(dataAll.ix[:,:-1])
centers, _ = kmeans(data, 3, iter=100)
cluster, _ = vq(data, centers)

Here I want to ask how to evaluate k means clustering . I want to get such a value as accuracy, accuracy, f measures .

Answer 1

If you have Gold / Ground true, you can use my [ Link ] code to calculate pairwise accuracy, challenge, FScore and NMI.

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