Given a set of data points and a distance function, the median point is def
ined as the point tin the set) that minimizes the sum of the distances to t
he remaining points of the set. In the general case, the median computation
has an O(n(2)) time cost, where n is the number of points. Nevertheless, f
or most tasks an approximate median is enough. In this paper a very fast al
gorithm (linear in time) is presented that finds a point that is a very goo
d approximation of the exact median. This algorithm is independent of the d
istance function and does not degrade as the dimensionality of the data inc
reases. (C) 2001 Elsevier Science B.V. All rights reserved.