Efficient and Generalizable Archetypal Analysis for Discrete Data
Archetypal Analysis (AA) represents observations as convex combinations of extremal data-driven profiles, yielding interpretable low-dimensional descriptions of complex datasets.
By A. Emilie J. Wedenborg, Jesper L{\o}ve Hinrich, Morten M{\o}ruparXiv - stat.ML
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Originally published by arXiv - stat.ML on Oct 9, 2026.
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