Also, I should point out that the rows (or columns) of the association matrix are already an interesting source of more than pairwise groups. In some applications, these row based groups are even more interesting than the transitive closures provided by the other clustering methods I mentioned.
On Wed, Aug 20, 2008 at 1:09 AM, sej <[EMAIL PROTECTED]> wrote: > > I'm not quite sure I understand your suggestion. Co-occurrence modeling > would be limited to finding the most interesting pairs. If you have a > follow up link to elaborate on item sets that extend beyond pairs > (cardinality > 2), that would be helpful. >
