  The allelomimesis clustering model is based on only two parameters: a local
parameter $\alpha$ that represents the probability of nearest-neighbor copying
and a global parameter $p$ that represents the fraction of unresponsive agents.
The model results into the formation of clusters of agents, the sizes of which
obey a distribution that is determined by the values of $\alpha$ and $p$.
Several experimental data are fitted by tuning the two parameters. In
particular, the significance of the value of $\alpha$ that corresponds to an
experimental data is discussed and is justified according to behavioral
context. Recommendations for possible extensions of the model are also
enumerated.
