Horseshoes in multidimensional scaling and local kernel methods

DOI10.1214/08-AOAS165zbMath1149.62316arXiv0811.1477WikidataQ58803731 ScholiaQ58803731MaRDI QIDQ958313

Sharad Goel, Susan P. Holmes, Persi Diaconis

Publication date: 3 December 2008

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

Full work available at URL: https://arxiv.org/abs/0811.1477

zbMATH Keywords

kernel methodsdimensionality reductionhorseshoesmultidimensional scalingprincipal components analysis

Mathematics Subject Classification ID

Multivariate analysis (62H99) History, political science (91F10) One- and multidimensional scaling in the social and behavioral sciences (91C15)

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Cites Work

• Horseshoes in multidimensional scaling and local kernel methods
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• Multidimensional scaling. I: Theory and method
• Centrosymmetric (Cross-Symmetric) Matrices, Their Basic Properties, Eigenvalues, and Eigenvectors
• Spectral properties of distance matrices
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