Three theorems with applications to Euclidean distance matrices

DOI10.1016/0024-3795(87)90024-3zbMath0627.15008OpenAlexW1989503026MaRDI QIDQ581508

Richard William Farebrother

Publication date: 1987

Published in: Linear Algebra and its Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0024-3795(87)90024-3

zbMATH Keywords

clusteringscalingmultidimensional datadirect proofnon-Euclidean distance matrices

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Hermitian, skew-Hermitian, and related matrices (15B57)

Related Items (4)

Sensor network localization, Euclidean distance matrix completions, and graph realization ⋮ A complete solution to the problem of robustness of Grubbs's test ⋮ Euclidean Distance Matrices and Applications ⋮ Nonnegative and positive definiteness of matrices modified by two matrices of rank one

Cites Work

• Linear unbiased approximators of the disturbances in the standard linear model
• Properties of Euclidean and non-Euclidean distance matrices
• The Minimum Mean Square Error Linear Estimator and Ridge Regression
• Unnamed Item

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