Given an unlabeled dataset {x(1),...,x(m)}. The K-mean algorithm has been run with 40 different random initializations, and 40 different clusterings of the data have been Ex0 – µwl² to choose the best obtained. Describe how we should use m m clustering.
Given an unlabeled dataset {x(1),...,x(m)}. The K-mean algorithm has been run with 40 different random initializations, and 40 different clusterings of the data have been Ex0 – µwl² to choose the best obtained. Describe how we should use m m clustering.
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Transcribed Image Text:Given an unlabeled dataset {x(1),...,x(m)}. The K-mean algorithm has been run with
40 different random initializations, and 40 different clusterings of the data have been
Ex0 – µwl² to choose the best
obtained. Describe how we should use
m
m
clustering.
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