[R] k-nearest neighbour classification

[Neverstop]

I know that knn.cv(train=predictors.training, cl=classes.training, k=3,
prob=TRUE) works but by doing so I fix the tuning paramer k to be 3. Isn't
cross validation a technique to choose the optimal tuning parameter trying a
range of different values for the tuning parameter? 



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