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Find four different, unrelated algorithms that are well-suited to mapreduce, and explain what makes them algorithms/patterns for mapreduce, i.e., why it would be harder/slower/worse to

Find four different, unrelated algorithms that are well-suited to mapreduce, and explain what makes them algorithms/patterns for mapreduce, i.e., why it would be harder/slower/worse to run these algorithms in a non-mapreduce paradigm?

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1 Kmeans clustering is a wellsuited algorithm for MapReduce because it can be parallelized very easi... blur-text-image

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