Sequential clustering by loopy belief propagation

In this contribution we exploit the potential of belief propagation in connection with sequential superparamagnetic clustering. We first give a short overview of the methods and concepts used and show how to combine them. We finally discuss some implementation issues, problems and possible advantages in comparison with Markov chain Monte Carlo methods by means of a toy system.