This paper deals with a non-symmetrical analysis of two multiple data sets to study the structure of dependence among sets of variables that play different roles in the analysis. Moving from a covariance criteria with more sets of criterion variables, authors seek simultaneously different linear combinations of each explanatory variable set in presence of external information about them. This approach can be considered an extension of Generalized Constrained Principal Component Analysis (GCPCA) (Amenta and D’Ambra, 1999) in the presence of external information about single or sets of explanatory variables
Titolo: | GENERALIZED CONSTRAINED PRINCIPAL COMPONENT ANALYSIS WITH EXTERNAL INFORMATION | |
Autori interni: | ||
Data di pubblicazione: | 2000 | |
Handle: | http://hdl.handle.net/20.500.12070/12658 | |
Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
File in questo prodotto:
File | Descrizione | Tipologia | Licenza | |
---|---|---|---|---|
GENERALIZED CONSTRAINED PRINCIPAL COMPONENT ANALYSIS WITH EXTERNAL INFORMATION .pdf | N/A | Non specificato | Administrator Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.