The main objective of a PCA is to reduce the dimensionality of a set of data. This is particularly advantageous if a set of data with many variables lies, in reality, close to a two-dimensional subspace (plane). In this case the data can be plotted with respect to...
CITATION STYLE
Jolliffe, I. T. (1986). Graphical Representation of Data Using Principal Components (pp. 64–91). https://doi.org/10.1007/978-1-4757-1904-8_5
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