Câu 9: DY0-001: CompTIA DataX

Which of the following is a key difference between KNN and k-means machine-learning techniques?

1. A. KNN operates exclusively on continuous data, while k-means can work with both continuous and categorical data.
2. B. KNN performs better with longitudinal data sets, while k-means performs better with survey data sets.
3. C. KNN is used for finding centroids, while k-means is used for finding nearest neighbors.
4. D. KNN is used for classification, while k-means is used for clustering. — đáp án hiện tại