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We implement AntClust, a clustering algorithm based on the chemicalrecognition system of ants and use it to cluster images of cars. We will give ashort recap summary of the main working principles of the algorithm as devisedby the original paper [1]. Further, we will describe how to define a similarityfunction for images and how the implementation is used to cluster images ofcars from the vehicle re-identification data set. We then test the clusteringperformance of AntClust against DBSCAN, HDBSCAN and OPTICS. Finally one of thecore parts in AntClust, the rule set can be easily redefined with ourimplementation, enabling a way for other bio-inspired algorithms to find rulesin an automated process. The implementation can be found on GitLab [9].

Cluster images with AntClust: a clustering algorithm based on the chemical recognition system of ants