A general coefficient of similarity and some of its properties
JC Gower - Biometrics, 1971 - JSTOR
JC Gower
Biometrics, 1971•JSTORA general coefficient measuring the similarity between two sampling units is defined. The
matrix of similarities between all pairs of sample units is shown to be positive semidefinite
(except possibly when there are missing values). This is important for the multidimensional
Euclidean representation of the sample and also establishes some inequalities amongst the
similarities relating three individuals. The definition is extended to cope with a hierarchy of
characters.
matrix of similarities between all pairs of sample units is shown to be positive semidefinite
(except possibly when there are missing values). This is important for the multidimensional
Euclidean representation of the sample and also establishes some inequalities amongst the
similarities relating three individuals. The definition is extended to cope with a hierarchy of
characters.
A general coefficient measuring the similarity between two sampling units is defined. The matrix of similarities between all pairs of sample units is shown to be positive semidefinite (except possibly when there are missing values). This is important for the multidimensional Euclidean representation of the sample and also establishes some inequalities amongst the similarities relating three individuals. The definition is extended to cope with a hierarchy of characters.