Discrete Hessian eigenmaps method for dimensionality reduction

DOI10.1016/j.cam.2014.09.011zbMath1304.65110OpenAlexW1987913709MaRDI QIDQ475660

Weifeng Zhi, Qiang Ye

Publication date: 27 November 2014

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2014.09.011

zbMATH Keywords

null spacedimensionality reductionHessian matrixHessian eigenmaps method

Mathematics Subject Classification ID

Numerical aspects of computer graphics, image analysis, and computational geometry (65D18)

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Cites Work

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• Matrix perturbation analysis of local tangent space alignment
• Analysis of an alignment algorithm for nonlinear dimensionality reduction
• Eigenvalues of an alignment matrix in nonlinear manifold learning
• 10.1162/153244304322972667
• Spectral Properties of the Alignment Matrices in Manifold Learning
• Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment
• Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
• Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data

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