In a K-Nearest Neighbors Algorithm, Similarity of Records Is Based

question 29

Multiple Choice

In a k-Nearest Neighbors algorithm, similarity of records is based on the .

• A) closeness of a record to numerical predictors in the other records
• B) sum of the squares of the distance between the numerical predictors
• C) set of linear functions of predictors called discriminant functions
• D) nearness of a record to its own observations

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