no code implementations • 31 Jan 2023 • Sebastian Mair, Jens Sjölund
Archetypal analysis is a matrix factorization method with convexity constraints.
no code implementations • 22 Oct 2020 • Samuel G. Fadel, Sebastian Mair, Ricardo da S. Torres, Ulf Brefeld
In this paper, we solve this issue by enforcing a fixed norm and, hence, change the base distribution, to allow for a principled way of interpolation.
1 code implementation • NeurIPS 2019 • Sebastian Mair, Ulf Brefeld
Archetypal analysis represents instances as linear mixtures of prototypes (the archetypes) that lie on the boundary of the convex hull of the data.
no code implementations • ICML 2017 • Sebastian Mair, Ahcène Boubekki, Ulf Brefeld
Archetypal Analysis is the method of choice to compute interpretable matrix factorizations.