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(20 marks) Explain the k-means clustering algorithm. Provide a pseudo code of the algorithm. It should be the version of the k-means clustering algorithm discussed
(20 marks) Explain the k-means clustering algorithm. Provide a pseudo code of the algorithm. It should be the version of the k-means clustering algorithm discussed in the lectures. Implement the k-means clustering algorithm following your explanation and the pseudo-code. In the implementation, select initial cluster representatives randomly(it must be implemented in Python language)
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