Archetypal shapes based on landmarks and extension to handle missing data

DOI10.1007/s11634-017-0297-7zbMath1416.62326OpenAlexW2765732730MaRDI QIDQ1630886

Amelia Simó, Irene Epifanio, María Victoria Ibáñez

Publication date: 5 December 2018

Published in: Advances in Data Analysis and Classification. ADAC (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10234/169873

zbMATH Keywords

missing datastatistical shape analysisanthropometric dataarchetype analysisarchetypoid analysischildren's wear

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Factor analysis and principal components; correspondence analysis (62H25) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (6)

Robust multivariate and functional archetypal analysis with application to financial time series analysis ⋮ Unnamed Item ⋮ Archetypal curves in the shape and size space: discovering the salient features of curved big data by representative extremes ⋮ Archetypal analysis for ordinal data ⋮ Robust archetypoids for anomaly detection in big functional data ⋮ Archetypal Analysis With Missing Data: See All Samples by Looking at a Few Based on Extreme Profiles

Uses Software

• R
• archetypes
• elasticnet
• ElemStatLearn
• Momocs
• shapes
• Anthropometry
• clusfind

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• Unnamed Item
• Unnamed Item
• Unnamed Item
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