Functional \(k\)-means inverse regression

DOI10.1016/j.csda.2013.09.004zbMath1471.62207OpenAlexW2025504281MaRDI QIDQ1615228

Guochang Wang, Nan Lin, Bao-Xue Zhang

Publication date: 2 November 2018

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

Full work available at URL: https://doi.org/10.1016/j.csda.2013.09.004

zbMATH Keywords

dimension reductionmultivariate regressionfunctional data\(k\)-means clusteringeffective direction reduction

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08) Functional data analysis (62R10)

Related Items

Dimension reduction in functional regression with categorical predictor, Selection of the number of clusters in functional data analysis, Weight fused functional sliced average variance estimation, K-medoids inverse regression, The hybrid method of FSIR and FSAVE for functional effective dimension reduction, Functional data clustering via hypothesis testing \(k\)-means, Robust functional sliced inverse regression, Functional Partial Linear Single‐index Model, Functional sufficient dimension reduction for functional data classification

Uses Software

• fda (R)

Cites Work

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