Weighted and robust archetypal analysis

Archetypal analysis represents observations in a multivariate data set as convex combinations of a few extremal points lying on the boundary of the convex hull. Data points which vary from the majority have great influence on the solution; in fact one outlier can break down the archetype solution. T...

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Veröffentlicht in:	Computational statistics & data analysis 2011-03, Vol.55 (3), p.1215-1225
Hauptverfasser:	Eugster, Manuel J.A., Leisch, Friedrich
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Boundaries Breakdown point Convex and discrete geometry Data points Data processing Exact sciences and technology General topics Geometry Hulls Hulls (structures) Iteratively reweighted least squares Least squares method M-estimator Mathematical models Mathematics Multivariate analysis Numerical analysis Numerical analysis. Scientific computation Numerical methods in probability and statistics Probability and statistics Robust archetypal analysis Robust archetypal analysis M-estimator Breakdown point Iteratively reweighted least squares Sciences and techniques of general use Statistics
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