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
Autores principales: Maronna, R., Jacovkis, P.M.
Formato: JOUR
Materias:
cluster
discriminant analysis
methodology
multivariate analysis
statistics
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_0006341X_v30_n3_p499_Maronna
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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