Transformation Categorization Based on Group Decomposition Theory Using Parameter Division

This research explores unsupervised categorization of transformations between input pairs using algebraic constraints, aiming for a principled understanding of good representations. It introduces parameter division to refine prior Galois-theoretic methods, addressing their reliance on auxiliary assumptions and improving the decomposition of groups.