A 2-dimensional data set consists of 4 objects which are A(2, 10), B(9, 1), C(5, 8),...

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A 2-dimensional data set consists of 4 objects which are A(2, 10), B(9, 1), C(5, 8), D(4, 9). Clustering method of k-means is performed on the data set i) Consider objects A and C are the initial centroids and using Euclidean distance, find the cluster of each object. (10 marks) ii) Update the centroids after the first iteration. (3 marks) iii) Find the cluster of Object D after the first iteration. (3 marks) iv) Should the k-means algorithm be continued to second iteration? Justify your answer. A 2-dimensional data set consists of 4 objects which are A(2, 10), B(9, 1), C(5, 8), D(4, 9). Clustering method of k-means is performed on the data set i) Consider objects A and C are the initial centroids and using Euclidean distance, find the cluster of each object. (10 marks) ii) Update the centroids after the first iteration. (3 marks) iii) Find the cluster of Object D after the first iteration. (3 marks) iv) Should the k-means algorithm be continued to second iteration? Justify your answer.