Neighbourhood-preserving dimension reduction via localised multidimensional scaling

DOI10.1016/j.tcs.2017.09.021zbMath1393.68154OpenAlexW2760844866MaRDI QIDQ2636500

Pan Shi, Yuzhe Ma, Kun He, John E. Hopcrofts

Publication date: 5 June 2018

Published in: Theoretical Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.tcs.2017.09.021

zbMATH Keywords

dimension reductionlow complexityembedded manifoldlocalised multidimensional scalingneighbourhood-preserving

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• darch

Cites Work

• Convergence analysis of kernel canonical correlation analysis: theory and practice
• Modern multidimensional scaling. Theory and applications.
• Reducing the Dimensionality of Data with Neural Networks
• Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data

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