MVS: Given data drawn from some underlying probability distribution, the MVS estimation problem is to find the minimum volume subset <i>S</i> of the input space such that the probability that a test point drawn from the distribution lies outside <i>S</i> equals a prespecified value <FONT FACE="Symbol">m</FONT>[4]. These sets are known in the MVS literature as density contour clusters.