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- Title
Clustering Methods over the Tropical Projective Torus.
- Authors
Barnhill, David; Yoshida, Ruriko
- Abstract
In this paper, we propose clustering methods for use on data described as tropically convex. Our approach is similar to clustering methods used in the Euclidean space, where we identify groupings of similar observations using tropical analogs of K-means and hierarchical clustering in the Euclidean space. We provide results from computational experiments on generic simulated data as well as an application to phylogeny using ultrametrics, demonstrating the efficacy of these methods.
- Subjects
TORUS; HIERARCHICAL clustering (Cluster analysis); K-means clustering; PHYLOGENY; NONCONVEX programming
- Publication
Mathematics (2227-7390), 2023, Vol 11, Issue 15, p3433
- ISSN
2227-7390
- Publication type
Article
- DOI
10.3390/math11153433