Fuzzy c-means clustering and Internet portals: A case study

Researchers in operational research have used fuzzy c-means clustering ubiquitously in a wide range of areas. It appears that Internet portals can also benefit from this powerful methodology. This paper tests the applicability of fuzzy c-means clustering to Internet portals and shows that there exist meaningful clusters among the potential users of an Internet portal that offers business-related information. The results suggest that Internet portals can use fuzzy c-means clustering to determine homogenous groups of people and offer specific information to each group.