Cluster images with AntClust: a clustering algorithm based on the
  chemical recognition system of ants
Winfried Gero Oed Parisa Memarmoshrefi
We implement AntClust, a clustering algorithm based on the chemical
recognition system of ants and use it to cluster images of cars. We will give a
short recap summary of the main working principles of the algorithm as devised
by the original paper [1]. Further, we will describe how to define a similarity
function for images and how the implementation is used to cluster images of
cars from the vehicle re-identification data set. We then test the clustering
performance of AntClust against DBSCAN, HDBSCAN and OPTICS. Finally one of the
core parts in AntClust, the rule set can be easily redefined with our
implementation, enabling a way for other bio-inspired algorithms to find rules
in an automated process. The implementation can be found on GitLab [9].