Question: 28
(Choose 1 answer)
What is a difference between agglomerative clustering and the K-means algorithm regarding the cluster
assignments of instances?
A. Instances within the same cluster may end up in different clusters as the algorithm proceeds in K-means
algorithm but in agglomerative clustering
B. Instances are always assigned to the same cluster in agglomerative clustering but in K-means algorithm
C. Instances can never be assigned to different clusters in K-means algorithm but in in agglomerative
clustering
D. Instances can change clusters during each iteration in agglomerative clustering but in K-means algorithm
