Spanifold: spanning tree flattening onto lower dimension

DOI10.1002/sta4.74MaRDI QIDQ6538481

Christopher G. Small, Shojaeddin Chenouri, Petr Kobelevskiy

Publication date: 14 May 2024

Published in: Stat (Search for Journal in Brave)

zbMATH Keywords

dimension reductionspanning treemanifold learningprincipal componentisomaplocal linear embedding

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Diffusion maps
• Robust locally linear embedding
• Reducing the Dimensionality of Data with Neural Networks
• 10.1162/153244304322972667
• Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment
• Principal Curves
• Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
• Local Multidimensional Scaling for Nonlinear Dimension Reduction, Graph Drawing, and Proximity Analysis
• Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data

This page was built for publication: Spanifold: spanning tree flattening onto lower dimension