«Archeologia e Calcolatori» 1994, 5, 23-38
Principal component analysis (PCA) is a widely used multivariate method in archaeology, and is particularly prevalent in archaeometric applications. The paper reviews the use of the methodology in archaeometry, including the choice of data transformation and standardisation. The related methods of factor analysis and correspondence analysis are also briefly considered. Two detailed examples illustrate some of the methods discussed, including uncommon approaches such as the use of ranked data.
Subjects:
Publishers:
CNR - Istituto di Scienze del Patrimonio Culturale
Edizioni All'Insegna del Giglio
Baxter M. 1994, Principal component analysis in archaeometry, in P. Moscati (ed.), Choice, Representation and Structuring of Archaeological Information, «Archeologia e Calcolatori», 5, 23-38
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