scikit learn - Changing K mean clustering distance metric to canberra distance or any other distance metric on python

Question

How do I change the distance metric of k mean clustering to canberra distance or any other distance metric? From my understanding, sklearn only supports euclidean distance and nltk doesn't seem to support canberra distance but I may be wrong. Thank you!

Answer 1

from scipy.spatial import distance
from nltk.cluster.kmeans import KMeansClusterer

obj = KMeansCluster(num_cluster, distance = distance.canberra)