It is shown that in the context of a specific pattern classification decision metric the number of samples

needed to characterize a cluster described by

features is

where

represents an interval width. The distance metric

is shown to have an

-distribution which leads to the result for

. An additional application of the distribution of

is discussed in terms of a specific type of pattern classifier.