Question
What is the objective of k-means clustering?
Select an option. Your answer will be checked instantly.
Correct Answer: A. To minimize within-cluster squared distances to cluster centroids
Explanation:
K-means assigns observations to the nearest centroid and updates centroids iteratively.
Its objective is the within-cluster sum of squares.
Leave a Reply