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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?

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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

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