An alternative to a ranked list of the entities is
a random list. Instead of using the most prominent
cluster candidates to identify new cluster
candidates, all the candidate clusters of the
neighbouring entities are used. By always
comparing all of the candidate clusters of the
neighbouring entities, the potential drifting
problem, described above, can be avoided at the
cost of longer processing time (i.e. more similarity
calculations).