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 .
The correlation between n.d. kernels and distances is as follows: whenever an n.d. kernel becomes zero on the set , and it is non-zero only on this set, then its square root functions as a distance measure for .