Question: Assume that the K-means algorithm is employed in a clustering task using a Euclidean distance between observations: Suppose a cluster center is associated to the

Assume that the K-means algorithm is employed in a clustering task using a Euclidean distance between observations:

Suppose a cluster center is associated to the observations x1 = (3, 4), x2 = (-1, 2), x3 = (2, 3) after the assignment step. What would be the new position of this cluster center after the movement step?

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