Clustering Cluster Algebras with Clusters
This paper leverages high-performance computing to generate and classify cluster variables in Grassmannian cluster algebras via tableaux methods, subsequently applying machine learning techniques to uncover structural patterns and formulate conjectures regarding their enumeration and formation.