Multivariate clustering procedures with variable metrics

Several multivariate clustering methods are analyzed in which each cluster may have a different metric depending on its covariance matrix. Numerical experiments show that the only reliable method among these is one using a metric suggested by Rohlf [1970] based on the within cluster covariance matri...

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Detalles Bibliográficos
Autor principal: Maronna, R.
Otros Autores: Jacovkis, Pablo Miguel
Formato: Capítulo de libro
Lenguaje:Inglés
Publicado: 1974
Acceso en línea:Registro en Scopus
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Registro en la Biblioteca Digital
Aporte de:Registro referencial: Solicitar el recurso aquí
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100 1 |a Maronna, R. 
245 1 0 |a Multivariate clustering procedures with variable metrics 
260 |c 1974 
506 |2 openaire  |e Política editorial 
520 3 |a Several multivariate clustering methods are analyzed in which each cluster may have a different metric depending on its covariance matrix. Numerical experiments show that the only reliable method among these is one using a metric suggested by Rohlf [1970] based on the within cluster covariance matrix normalized for unit determinant. (12 references.)  |l eng 
593 |a Dept. Matemat., Fac. Ci. Exactas, Univ. Buenos Aires, Argentina 
690 1 0 |a CLUSTER 
690 1 0 |a DISCRIMINANT ANALYSIS 
690 1 0 |a METHODOLOGY 
690 1 0 |a MULTIVARIATE ANALYSIS 
690 1 0 |a STATISTICS 
700 1 |a Jacovkis, Pablo Miguel 
773 0 |d 1974  |g v. 30  |h pp. 499-505  |k n. 3  |p BIOMETRICS  |x 0006341X  |w (AR-BaUEN)CENRE-256  |t Biometrics 
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