Modeling higher order arrays of data has gained importance in many sciences.PARAFAC/CANDECOM is one of the most applied model to study three-way matrixwhen the data are approximately trilinear. When the data are particular ratios, as in thecase of compositional data, PARAFAC/CANDECOM should consider the specialproblems that this kind of data gives. In this contribution we describe how aPARAFAC/CANDECOM analysis for compositional data is possible and how tointerpret correctly the results. The data used for the application are relative to thecomposition of agricultural land in different European countries.
PARAFAC/CANDECOM analysis for Compositional data
LUCADAMO A
2008-01-01
Abstract
Modeling higher order arrays of data has gained importance in many sciences.PARAFAC/CANDECOM is one of the most applied model to study three-way matrixwhen the data are approximately trilinear. When the data are particular ratios, as in thecase of compositional data, PARAFAC/CANDECOM should consider the specialproblems that this kind of data gives. In this contribution we describe how aPARAFAC/CANDECOM analysis for compositional data is possible and how tointerpret correctly the results. The data used for the application are relative to thecomposition of agricultural land in different European countries.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
