Weighting quantitative and qualitative variables in clustering methods.

Título inglés	Weighting quantitative and qualitative variables in clustering methods.
Título español	Ponderación de variables cuantitativas y cualitativas en los métodos de análisis cluster.
Autor/es	Gibert, Karina ; Cortés, Ulises
Organización	Dep. Estad. Invest. Oper. Fac. Inform. Univ. Politèc. Catalunya, Barcelona, España
Revista	1134-5632
Publicación	1997, 4 (3): 251-266, 25 Ref.
Tipo de documento	articulo
Idioma	Inglés
Resumen inglés	Description of individuals in ill-structured domains produces messy data matrices. In this context, automated classification requires the management of those kind of matrices. One of the features involved in clustering is the evaluation of distances between individuals. Then, a special function to calculate distances between individuals partially simultaneously described by qualitative and quantitative variables is required. In this paper properties and details of the metrics used by Klass in this situation is presented - Klass is a clustering system oriented to the classification of ill-structured domains which implements an adapted version of the reciprocal neighbors algorithm; it also takes advantage of any additional information that an expert can provide about the target concepts.
Clasificación UNESCO	120903
Palabras clave español	Análisis cluster ; Matrices de datos ; Análisis cualitativo ; Análisis cuantitativo ; Dominios estructurales ; Mezclado ; Métrica
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