Wiring diagram extraction and gluing: a case study in classifying figure skating jumps using 3D dataset
arXiv:2607.27598
The paper introduces a method for iteratively applying Hasse clustering through a theory of gluing wiring diagrams to reduce combinatorial complexity, and demonstrates its use for classifying 3D video recordings of figure skating jumps.
Abstract
Hasse clustering is an algorithm that extracts common patterns in sequential data and represents them in graphical forms. As the number of expected clusters grows, however, the algorithm can become infeasible to run due to combinatorial complexity. In this article, we describe a theory of gluing wiring diagrams, allowing iterative applications of Hasse clustering to achieve the same result as a single application. We test our theory in the context of classifying videos of figure skating jumps.
14 pages