Cloudera

DS-200 · Question #24

In what way can Hadoop be used to improve the performance of LIoyd's algorithm for k-means clustering on large data sets?

The correct answer is B. Distributing the updates of the cluster centroids. See the full explanation below for the reasoning.

Question

In what way can Hadoop be used to improve the performance of LIoyd's algorithm for k-means clustering on large data sets?

Options

AParallelizing the centroid computations to improve numerical stability
BDistributing the updates of the cluster centroids
CReducing the number of iterations required for the centroids to converge
DMapping the input data into a non-Euclidean metric space

How the community answered

(38 responses)

A
8% (3)
B
74% (28)
C
16% (6)
D
3% (1)

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