AI RESEARCH
Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions
arXiv CS.LG
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ArXi:2605.24113v1 Announce Type: new Classical archetypal analysis is appealing for its interpretability, but its linear geometry can limit performance on data with strongly non-linear structure; at the same time, existing neural extensions improve flexibility while often weakening the geometric meaning of archetypes and interpolations.