Question: How do k-means clustering methods differ from k-nearest neighbor methods? Select an answer: Nearest neighbor methods require prior centroid identification. Clustering methods are only good

How do k-means clustering methods differ from k-nearest neighbor methods? Select

How do k-means clustering methods differ from k-nearest neighbor methods? Select an answer: Nearest neighbor methods require prior centroid identification. Clustering methods are only good for binary classification. Clustering methods are unsupervised. Nearest neighbor methods do not require distance calculations

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