What type of consideration can be made using clustering?
This is basic architecture of spam filter :

Statistically,spam bear lower entropy ( i.e., higher similarities) than legitimate emails.
We could use bisect k-means clustering after doing topic modelling. In k-means we had to specify k which lead to drastic change in results and it also leads to empty clusters.
I would recommend going through this paper as it highlight this approach.