CompTIA
DY0-001 · Question #52
DY0-001 Question #52: Real Exam Question with Answer & Explanation
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Question
Which of the following is a key difference between KNN and k-means machine-learning techniques?
Options
- AKNN operates exclusively on continuous data, while k-means can work with both continuous and
- BKNN performs better with longitudinal data sets, while k-means performs better with survey data
- CKNN is used for finding centroids, while k-means is used for finding nearest neighbors.
- DKNN is used for classification, while k-means is used for clustering.
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