Standardization of data
Why is it necessary to standardize variables before a PCA?
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It makes it easier to understand the data structure by simply looking at it.
Without standardization, variables with a higher variance would have a larger impact on the extracted components.
It makes PCA computation faster because different variances of the variables slow down the computations.
It helps to check if every variable has been measured in the same measurement unit (e.g., cm vs. inch).
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