Clustering Methods over the Tropical Projective Torus

In this paper, we propose clustering methods for use on data described as tropically convex. Our approach is similar to used in the Euclidean space, where identify groupings of observations using tropical analogs K-means and hierarchical space. We provide results from computational experiments generic simulated well an application phylogeny ultrametrics, demonstrating efficacy these methods.