Principal Component Analysis (PCA) is a traditional method in data analysis and, more specifically, in multivariate analysis. PCA was developed by Karl Pearson in 1901. The goal of PCA is to reduce the dimensionality in a set of correlated variables into a smaller set of uncorrelated variables that explain the majority [...]
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