Kizspy | Question: 31
(Choose 1 answer)
The main steps in the k-means clustering algorithm are:
A. Assign each sample to the sest centroid, then calculate the new centroid.
B. Calculate the centroids, then determine the appropriate stopping criterion depending on the number of
centroids.
C. Calculate the distances between the cluster centroids, then find the two sest centroids.
D. Count the number of samples, then determine the initial centroids.
FOBVERT LOW LOM!
