Dependence of locally linear embedding on the regularization parameter

DOI10.1007/s11750-010-0151-yzbMath1273.62139OpenAlexW2025578174MaRDI QIDQ621734

Rasa Karbauskaitė, Virginijus Marcinkevičius, Gintautas Dzemyda

Publication date: 28 January 2011

Published in: Top (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11750-010-0151-y

zbMATH Keywords

dimensionality reductionmanifold learninglocally linear embeddinghigh-dimensional data visualization

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Numerical linear algebra (65F99)

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Cites Work

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• A new approach to multivariate adaptive regression splines by using Tikhonov regularization and continuous optimization
• 10.1162/153244304322972667
• Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment
• Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
• Visualization of a set of parameters characterized by their correlation matrix.

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