Discrete Hessian eigenmaps method for dimensionality reduction
type: Item
instance of: scholarly article
title: Discrete Hessian eigenmaps method for dimensionality reduction
zbMATH Open document ID: 1304.65110
author: Qiang Ye
author: Weifeng Zhi
published in: Journal of Computational and Applied Mathematics
publication date: 2014-11-27T00:00:00Z
Mathematics Subject Classification ID: 65D18
zbMATH DE Number: 6374498
zbMATH Keywords: Hessian eigenmaps method
zbMATH Keywords: dimensionality reduction
zbMATH Keywords: null space
zbMATH Keywords: Hessian matrix
MaRDI profile type: Publication
full work available at URL: j.cam.2014.09.011
OpenAlex ID: W1987913709
cites work: Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data
cites work: Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
cites work: Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment
cites work: 10.1162/153244304322972667
cites work: Eigenvalues of an alignment matrix in nonlinear manifold learning
cites work: Analysis of an alignment algorithm for nonlinear dimensionality reduction
cites work: Matrix perturbation analysis of local tangent space alignment
cites work: Spectral Properties of the Alignment Matrices in Manifold Learning
cites work: Q4348513
DOI: 10.1016/J.CAM.2014.09.011
description: scientific article; zbMATH DE number 6374498