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arXiv Machine Learning By Aleix Alcacer, Irene Epifanio, Sebastian Mair, Morten M{\o}rup

A Survey on Archetypal Analysis

Read the original on arXiv Machine Learning →

A Survey on Archetypal Analysis reviews the method introduced by Cutler and Breiman in 1994 for extracting archetypes—distinct aspects—from data, where each observation is expressed as a convex combination of these archetypes. The survey covers AA’s role in feature extraction, dimensionality reduction, and its interpretability, discusses its nonconvex optimization challenges, and surveys applications across various scientific fields. It also outlines best practices, limitations, and future research directions for AA.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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