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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) Use the notion of error function to explain the concepts of local minimum and global minimum?

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