Robust archetypoids for anomaly detection in big functional data

DOI10.1007/s11634-020-00412-9OpenAlexW3047198203MaRDI QIDQ135720

Guillermo Vinue, Irene Epifanio, Irene Epifanio, Guillermo Vinué

Publication date: 3 August 2020

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

Full work available at URL: http://hdl.handle.net/10234/189368

zbMATH Keywords

big datafunctional data analysisarchetypal analysisanomaly detectionR package

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30)

Related Items

Archetypal curves in the shape and size space: discovering the salient features of curved big data by representative extremes, Archetypal analysis for ordinal data, Data adaptive functional outlier detection: analysis of the Paris bike sharing system data, adamethods, Detecting and classifying outliers in big functional data

Uses Software

• R
• Rainbow
• UCI-ml
• fda (R)
• foreach
• tolerance
• doParallel
• shiny
• fda.usc
• roahd
• Anthropometry
• mrfDepth
• clusfind
• univOutl

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