Principal component analysis and clustering on manifolds

DOI10.1016/j.jmva.2021.104862OpenAlexW3214068148MaRDI QIDQ2062801

Henrik Wiechers, Benjamin Eltzner, Kanti V. Mardia, Stephan F. Huckemann

Publication date: 3 January 2022

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2021.104862

zbMATH Keywords

dimension reductionadaptive linkage clusteringcircular mode huntingmultivariate wrapped normalSARS-CoV-2 geometrystratified spherestorus PCA

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Factor analysis and principal components; correspondence analysis (62H25) Statistics on manifolds (62R30) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Hypothesis testing in multivariate analysis (62H15)

Related Items (1)

Rates of the strong uniform consistency for the kernel-type regression function estimators with general kernels on manifolds

Uses Software

• dynamicTreeCut
• SiZer

Cites Work

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