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The principle of component analysis, particularly in the context of Informetrics and Scientometrics, refers to a set of statistical techniques used to reduce the dimensionality of complex data sets and to uncover latent structures or patterns among variables. One of the most commonly used forms is Principal Component Analysis (PCA), which simplifies large bibliometric data matrices by transforming the original correlated variables into a new set of uncorrelated variables called principal components. These components capture ______ _________ __________ ___ _________ _________ ___ ____ ______ _________.
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