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

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