They aim to reduce numerous measures to a small set of the most important summary scores (Tabachnick and Fidell 1996, Budaev 2010). Researchers often try to interpret principal components and significant clusters to obtain a better understanding of the patterns of correlations between the original variables.
to a small set of the most important summary scores