Clustering multivariate functional data with phase variation

DOI10.1111/biom.12546zbMath1366.62238OpenAlexW2407370137WikidataQ31100646 ScholiaQ31100646MaRDI QIDQ5347444

Jeongyoun Ahn, Juhyun Park

Publication date: 23 May 2017

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://eprints.lancs.ac.uk/id/eprint/80021/1/ParkAhnBiometrics2016_earlyview.pdf

zbMATH Keywords

multivariate functional datacurve alignmentfunctional clusteringphase variationgrowth curves

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (8)

Cross‐component registration for multivariate functional data, with application to growth curves ⋮ Model-based joint curve registration and classification ⋮ A new distance with derivative information for functional \(k\)-means clustering algorithm ⋮ Probabilistic K -means with Local Alignment for Clustering and Motif Discovery in Functional Data ⋮ Estimation of partial derivative functionals with application to human mortality data analysis ⋮ Nonlinear mixed effects modeling and warping for functional data using B-splines ⋮ Clustering multivariate functional data using unsupervised binary trees ⋮ The approximation algorithm based on seeding method for functional \(k\)-means problem

Uses Software

• fda (R)
• fdasrvf

Cites Work

• Unnamed Item
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• Curve Registration
• Statistical Modeling of Curves Using Shapes and Related Features
• Self-Modelling Warping Functions
• Functional Convex Averaging and Synchronization for Time-Warped Random Curves

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