Fast \(DD\)-classification of functional data

DOI10.1007/s00362-015-0738-3zbMath1416.62352arXiv1403.1158OpenAlexW2242532044MaRDI QIDQ1685288

Pavlo Mozharovskyi, Karl C. Mosler

Publication date: 13 December 2017

Published in: Statistical Papers (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1403.1158

zbMATH Keywords

supervised learningcentral regionsalpha-procedure\(DD\)-plotfunctional depthlocation-sloe depth

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (14)

On statistical classification with incomplete covariates via filtering ⋮ The \(\mathrm{DD}^G\)-classifier in the functional setting ⋮ Multivariate and functional classification using depth and distance ⋮ Local half-region depth for functional data ⋮ Level sets of depth measures in abstract spaces ⋮ Classification rules based on distribution functions of functional depth ⋮ Model-based joint curve registration and classification ⋮ Effective Practices of Using Spatial Models in Document Image Classification ⋮ Selected statistical methods of data analysis for multivariate functional data ⋮ Dynamic recursive tree-based partitioning for malignant melanoma identification in skin lesion dermoscopic images ⋮ Discussion of ``Multivariate functional outlier detection by Mia Hubert, Peter Rousseeuw and Pieter Segaert ⋮ Depth-based classification for relational data with multiple attributes ⋮ Component-wise outlier detection methods for robustifying multivariate functional samples ⋮ A new type of multivariate records: depth-based records

Uses Software

• R
• fda (R)

Cites Work

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