Classification of functional data: a segmentation approach

DOI10.1016/j.csda.2008.03.024zbMath1452.62992OpenAlexW1969717366MaRDI QIDQ1023839

Bin Li, Qingzhao Yu

Publication date: 16 June 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2008.03.024

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Functional data analysis (62R10) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items

Homogeneity test for functional data ⋮ Description length and dimensionality reduction in functional data analysis ⋮ Simultaneous inference for the mean function based on dense functional data ⋮ Functional data analysis in shape analysis ⋮ Oracally efficient estimation for dense functional data with holiday effects ⋮ On local times, density estimation and supervised classification from functional data ⋮ Copula-Based Functional Bayes Classification With Principal Components and Partial Least Squares ⋮ Multivariate and functional classification using depth and distance ⋮ Spatial functional normal mixed effect approach for curve classification ⋮ Functional data classification using the rotation forest method combined with the patch selection ⋮ Functional statistical techniques applied to vine leaf water content determination ⋮ Classification rules based on distribution functions of functional depth ⋮ Model-based joint curve registration and classification ⋮ Functional summaries of persistence diagrams ⋮ A test of significance in functional quadratic regression ⋮ Bayesian classification of multiclass functional data ⋮ Robust Classification of Functional and Quantitative Image Data Using Functional Mixed Models ⋮ Supervised classification for functional data: a weighted distance approach ⋮ Functional logistic regression with fused lasso penalty ⋮ On rank distribution classifiers for high-dimensional data ⋮ Rényi entropy uncertainty relation for successive projective measurements

Uses Software

• fda (R)
• LIBSVM

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