(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 t 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.
Exit 64
