Geometric multidimensional scaling: efficient approach for data dimensionality reduction

DOI10.1007/s10898-022-01190-8OpenAlexW4281615404MaRDI QIDQ6183085

Gintautas Dzemyda, Martynas Sabaliauskas

Publication date: 26 January 2024

Published in: Journal of Global Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10898-022-01190-8

zbMATH Keywords

optimizationglobal optimizationvisualizationdimensionality reductionPCAmultidimensional scalingMDSSMACOFgeometric MDS

Mathematics Subject Classification ID

Mathematical programming (90Cxx)

Cites Work

• Multidimensional data visualization. Methods and applications
• Applied multidimensional scaling and unfolding
• Principal component analysis.
• Geometric multidimensional scaling: a new approach for data dimensionality reduction
• A general nonmetric technique for finding the smallest coordinate space for a configuration of points
• Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis
• Visualization of Data: Methods, Software, and Applications
• A Novel Geometric Approach to the Problem of Multidimensional Scaling

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