What are the main differences between kNN and SVM RBF?

a) kNN is a parametric model, while SVM RBF is non-parametric.
b) kNN is sensitive to outliers, while SVM RBF is robust.
c) kNN uses a linear decision boundary, while SVM RBF uses a non-linear one.
d) kNN is a classification algorithm, while SVM RBF is for regression.