Residual analysis for unidimensional scaling in the L2-norm

DOI10.1080/03610918.2018.1438620OpenAlexW2789622526MaRDI QIDQ5087499

Michael J. Brusco, Douglas Steinley, Hans-Friedrich Köhn

Publication date: 1 July 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2018.1438620

zbMATH Keywords

simulated annealingcombinatorial data analysisleast-squares unidimensional scaling: residual analysis

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• pertsaus2

Cites Work

• On the performance of simulated annealing for large-scale \(L_{2}\) unidimensional scaling
• Heuristic implementation of dynamic programming for matrix permutation problems in combinatorial data analysis
• The tunneling method for global optimization in multidimensional scaling
• A permutation-translation simulated annealing algorithm for \(L_{1}\) and \(L_{2}\) unidimensional scaling
• Global optimization in any Minkowski metric: A permutation-translation simulated annealing algorithm for multidimensional scaling
• Linear unidimensional scaling in the \(L_2\)-norm: Basic optimization methods using MATLAB.
• A simulated annealing heuristic for unidimensional and multidimensional (city-block) scaling of symmetric proximity matrices.
• Global optimization in least-squares multidimensional scaling by distance smoothing
• Optimal least-squares unidimensional scaling: improved branch-and-bound procedures and comparison to dynamic programming
• Metric unidimensional scaling and global optimization
• Modern multidimensional scaling. Theory and applications.
• Combinatorial Data Analysis
• Linear and circular unidimensional scaling for symmetric proximity matrices
• The Structural Representation of Proximity Matrices with MATLAB
• Unnamed Item
• Unnamed Item

This page was built for publication: Residual analysis for unidimensional scaling in the L₂-norm