Question: What is the objective function minimized in K - means clustering? Question 2 0 options: Maximum likelihood estimation Mean squared error Sum of squared distances

What is the objective function minimized in K-means clustering?
Question 20 options:
Maximum likelihood estimation
Mean squared error
Sum of squared distances between data points and centroids
Sum of absolute differences between data points and centroids

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