A Survey on Archetypal Analysis
Archetypal Analysis (AA) is a method that tries to represent complex data as a mixture of fundamental 'archetypes.' It mathematically assumes every observation is a combination of these archetypes, which are constrained to the data's boundary. The result provides an interpretable way to extract core features and understand extreme trade-offs within the dataset.