1. A method for selecting a set of initial cluster centers in clustering a collection of objects in a multi-dimensional vector space, comprising the steps of: selecting a first number of first objects from the collection; computing a vector centroid of the first objects; selecting a second number of second objects from the collection; and identifying a second number of initial cluster centers between the centroid and the second objects.