Principal component analysis (PCA) is a method used to identifypatterns in the data and express them in such a way as to highlighttheir similarities and di erences. Since data patterns can be di cultto nd in arrays with high dimensions, where it is very complicatedto make a graph, the PCA becomes a powerful tool for data analysis.Among the advantages that the PCA has is that once these patternsare found in the data, these are compressed and reduce the dimensionsof the matrix and helping the graphic interpretation of this [1].
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