Which of the following is true about k$-$NN$?$

A$.$ It can only be used for classification problems, and not for regression problems.

B$.$ Nearest neighbors in k$-$NN are found by iteratively ruling out distant neighbors.

C$.$ It is a nonparametric method because it does not involve estimation of parameters in an assumed function form $($e$.$g$.,$ linear form$).$

D$.$ Generally, higher the value of k in k$-$NN$,$ the better.