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Questions and Answers
What is the main difference between archetypal analysis and k-means clustering?
Archetypal analysis represents points by extreme examples (archetypes) while k-means represents points by means.
Explain the additional constraints in archetypal analysis.
Every archetype is a convex combination of existing data points and every data point is a convex combination of archetypes.
What do optimal archetypes in archetypal analysis approximate?
Optimal archetypes approximate the convex hull of a data set with points.
Which algorithm can be used to optimize archetypal analysis?
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Why is SVD considered optimal when using squared error in matrix factorization?
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How does non-negativity constraint impact the interpretability of matrix factorization results?
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