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Independent component analysis (ICA) and principal component analysis (PCA) are two multivariate statistical methods that convert a set of observed input correlated variables into independent or uncorrelated components which are combinations of the observed variables. The former has been commonly applied in geochemical data analysis for mineral exploration, while the latter has not been explored well...
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