Question: (12 marks) 3. Explain how the k-means clustering algorithm works. (6 marks) (a) (b) Can k-means ever give results which contain more or less than

(12 marks) 3. Explain how the k-means clustering algorithm works. (6

(12 marks) 3. Explain how the k-means clustering algorithm works. (6 marks) (a) (b) Can k-means ever give results which contain more or less than k clusters? (2 marks) Why would it be recommended to run the k-means algorithm several times on the (c) same dataset? What is the best way to report results of all the runs? (4 marks)

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