Clustering Functional Data into Groups by Using Projections

DOI10.1111/rssb.12310zbMath1420.62270OpenAlexW2914757424WikidataQ128446722 ScholiaQ128446722MaRDI QIDQ5234402

Aurore Delaigle, Tung H. Pham

Publication date: 26 September 2019

Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/11343/285344

zbMATH Keywords

\(k\)-meansHaar basisfunctional principal componentsoptimal projectionasymptotically perfect clustering

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to environmental and related topics (62P12)

Related Items (10)

Clusterwise functional linear regression models ⋮ Conditional functional clustering for longitudinal data with heterogeneous nonlinear patterns ⋮ Penalized model-based clustering of complex functional data ⋮ Cluster non‐Gaussian functional data ⋮ Functional Time Series Prediction Under Partial Observation of the Future Curve ⋮ Functional data clustering via information maximization ⋮ Projection-based classification for functional data ⋮ A similarity measure for second order properties of non-stationary functional time series with applications to clustering and testing ⋮ Clustering multivariate functional data using unsupervised binary trees ⋮ On functional data analysis and related topics

This page was built for publication: Clustering Functional Data into Groups by Using Projections