In what way can Hadoop be used to improve the performance of LIoyd’s algorithm for k-means
clustering on large data sets?
A.
Parallelizing the centroid computations to improve numerical stability
B.
Distributing the updates of the cluster centroids
C.
Reducing the number of iterations required for the centroids to converge
D.
Mapping the input data into a non-Euclidean metric space