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Linear Algebra and its Applications 416, 2-3 (2006) 365-372
A variance inequality ensuring that a predistance matrix is Euclidean
Jacques Bénasséni 1, 2
(2006)

We derive a variance inequality on the squares of the pre-distances between n objects ensuring that the corresponding pre-distance matrix is Euclidean. The result is discussed in relation with some transformations making a pre-distance matrix Euclidean.
1:  Université de Haute Bretagne - Rennes 2 (UHB)
Université de Rennes II - Haute Bretagne
2:  Institut de Recherche Mathématique de Rennes (IRMAR)
CNRS : UMR6625 – Université de Rennes 1 – École normale supérieure de Cachan - ENS Cachan – Institut National des Sciences Appliquées (INSA) : - RENNES – Université de Rennes II - Haute Bretagne
Mathematics/Statistics

Statistics/Statistics Theory
Euclidean distance matrix – Variance inequality