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This question concerns model optimisation in machine learning. The k-means algorithm is said to converge to local minima, rather than to the global minimum. (i)

This question concerns model optimisation in machine learning. The k-means algorithm is said to converge to local minima, rather than to the global minimum. (i) Considering the risk of converging to a local minimum, design a strategy that can improve the solution provided by the k-means algorithm?

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