This paper presents a discussion of the versatility and flexibility of fuzz
y clustering. Three examples of very different applications are presented.
The focus is on flexibility with respect to distance measure used and with
respect to the possibility of utilizing known membership values for some of
the samples. Copyright (C) 1999 John Wiley & Sons, Ltd.