Preorderings, monotone functions, and best rank \(r\) approximations with applications to classical MDS
DOI10.1016/0378-3758(93)90108-IzbMath0808.62057OpenAlexW2048952150WikidataQ123417544 ScholiaQ123417544MaRDI QIDQ1329694
Publication date: 16 March 1995
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0378-3758(93)90108-i
principal component analysispreorderingmultidimensional scalingcone of positive semidefinite matricesclass of monotone functionslinear space of matricesrank \(r\) approximating matricessingular-value theoremuniversally optimal properties
Multivariate analysis (62H99) Factor analysis and principal components; correspondence analysis (62H25) Inequalities in approximation (Bernstein, Jackson, Nikol'ski?-type inequalities) (41A17) Multidimensional problems (41A63)
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Cites Work
- Unnamed Item
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- The best Euclidean fit to a given distance matrix in prescribed dimensions
- The equivalence of two partial orders on a convex cone of positive semidefinite matrices
- On the Löwner, minus, and star partial orderings of nonnegative definite matrices and their squares
- G-majorization with applications to matrix orderings
- Information Increasing Orderings in Experimental Design Theory
- SYMMETRIC GAUGE FUNCTIONS AND UNITARILY INVARIANT NORMS
- Convex Analysis
- Maximum Properties and Inequalities for the Eigenvalues of Completely Continuous Operators
- Inequalities: theory of majorization and its applications