Question: 7 . The k - means clustering algorithm is considered an unsupervised method because: A . We can compare the identified centroids to a set

7. The k-means clustering algorithm is considered an unsupervised method because:
A. We can compare the identified centroids to a set of true centroids.
B. It identifies the optimal number of clusters for a given dataset, without assuming how many points should be assigned to each cluster.
C. Both A and B are correct.
D. Neither A nor B is correct.

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