Carregant...
Carregant...

Vés al contingut (premeu Retorn)

Wheigting quantitative and qualitative variables in clustening methods

Autor
Gibert, Karina; Cortes, U.
Tipus d'activitat
Article en revista
Revista
Mathware and soft computing
Data de publicació
1997-05
Volum
4
Número
3
Pàgina inicial
251
Pàgina final
266
Resum
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 th...
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
KEMLG - Grup d´Enginyeria del Coneixement i Aprenentatge Automàtic

Participants