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 |
