Discriminant analysis of regularized multidimensional scaling
From MaRDI portal
Publication:2061339
DOI10.3934/naco.2020024zbMath1476.62138OpenAlexW3013869060MaRDI QIDQ2061339
Publication date: 13 December 2021
Published in: Numerical Algebra, Control and Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3934/naco.2020024
regularizationradial basis functionsupport vector machineiterative majorizationmulti-dimensional scalingk-NN
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Convex programming (90C25) Pattern recognition, speech recognition (68T10)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Computing the nearest Euclidean distance matrix with low embedding dimensions
- Regularized multidimensional scaling with radial basis functions
- The additive constant problem in multidimensional scaling
- The analytical solution of the additive constant problem
- Convex multi-task feature learning
- On regularisation parameter transformation of support vector machines
- A new method on gene selection for tissue classification
- Spline function smooth support vector machine for classification
- A new solution to the additive constant problem in metric multidimensional scaling
- Modern multidimensional scaling. Theory and applications.
- Optimal parameter selection in support vector machines
- Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis
- Remarks to Maurice Frechet's article ``Sur la definition axiomatique d'une classe d'espaces vectoriels distancies applicables vectoriellement sur l'espace de Hilbert
- An Alternating Projection Algorithm for Computing the Nearest Euclidean Distance Matrix
- The Dissimilarity Representation for Pattern Recognition
- A Lagrangian Dual Approach to the Single-Source Localization Problem
- A Semismooth Newton Method for the Nearest Euclidean Distance Matrix Problem
- A convex quadratic semi-definite programming approach to the partial additive constant problem in multidimensional scaling
- Some distance properties of latent root and vector methods used in multivariate analysis
- A Nonlinear Feature Extraction Algorithm Using Distance Transformation
This page was built for publication: Discriminant analysis of regularized multidimensional scaling