The parallel between n.d. kernels and distances is in the following: whenever a n.d. kernel vanishes on the set , and is zero only on this set, then its square root is a distance for .
When comparing n.d. kernels to distances, there is a parallel: if an n.d. kernel vanishes on a particular set and is non-zero only at that location, then its square root serves as a distance measure.