Question #306865

1. In K-means algorithm, what is the most commonly used distance metric to calculate distance between centroid of each cluster and data points?

 

a)Chebyshev distance

b)Manhattan 

c)Euclidean

d)None of the above



Expert's answer

Euclidean

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