Question 1 In the previous example, the K-Means algorithm was able to accurately find the three initial clusters. However, changing the starting centers for K-Means can change the final clusters that K-Means gives us. Change the initial centers to the points [0, 1] , [1, 1] , and [2, 2] ; and fit a cluster.KMeans object called kmeans_q1 on the toy dataset from the previous example. Keep the random_state parameter as 42 and the n_clusters parameter as 3. Hint: You will need to change the init and n_init parameters in cluster.KMeans . kmeans_q1 - ...

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A: The Answer is in given below

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