This paper deals with a non-symmetrical analysis of two multiple data sets in order to study the structure of dependence among sets of variables which play different role in the analysis. This approach represents a generalization of the Constrained Principal Component Analysis (CPCA) (D’Ambra and Lauro, 1982).
Generalized Constrained Principal Component Analysis
AMENTA P;
2001-01-01
Abstract
This paper deals with a non-symmetrical analysis of two multiple data sets in order to study the structure of dependence among sets of variables which play different role in the analysis. This approach represents a generalization of the Constrained Principal Component Analysis (CPCA) (D’Ambra and Lauro, 1982).File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
Generalized Constrained Principal Component Analysis.pdf
non disponibili
Licenza:
Non specificato
Dimensione
878.97 kB
Formato
Adobe PDF
|
878.97 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
