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Philipp Sven Lars

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Articles

ParTIpy: a scalable framework for archetypal analysis and Pareto task inference

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By Ramírez Flores, Philipp Sven Lars, Einat Shaer
| TechTrends
Reagents and tools table Archetypal analysis Archetypal analysis (AA) is a matrix factorization framework that represents each observation as a convex combination of a small number of extreme points, termed archetypes, which themselves lie within (or near) the convex hull of the data (Cutler and Breiman, 1994; Mørup and Hansen, 2012; Alcacer et al, 2025).
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