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.)
Documento: | Artículo |
Título: | Multivariate clustering procedures with variable metrics |
Autor: | Maronna, R.; Jacovkis, P.M. |
Filiación: | Dept. Matemat., Fac. Ci. Exactas, Univ. Buenos Aires, Argentina |
Palabras clave: | cluster; discriminant analysis; methodology; multivariate analysis; statistics |
Año: | 1974 |
Volumen: | 30 |
Número: | 3 |
Página de inicio: | 499 |
Página de fin: | 505 |
DOI: | http://dx.doi.org/10.2307/2529203 |
Título revista: | Biometrics |
Título revista abreviado: | BIOMETRICS |
ISSN: | 0006341X |
CODEN: | BIOMA |
Registro: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0006341X_v30_n3_p499_Maronna |