Dihedral angles principal geodesic analysis using nonlinear statistics

DOI10.1080/02664763.2015.1014892OpenAlexW2016371520MaRDI QIDQ5130310

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Publication date: 4 November 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2015.1014892

zbMATH Keywords

principal component analysisprotein structuredihedral anglesprincipal geodesic analysisnon-Euclidean data

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (3)

Recent advances in directional statistics ⋮ Scaled Torus Principal Component Analysis ⋮ Toroidal PCA via density ridges

Cites Work

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• Riemannian center of mass and mollifier smoothing
• Exploring the variability of DNA molecules via principal geodesic analysis on the shape space
• Principal component analysis for Riemannian manifolds, with an application to triangular shape spaces

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