The purpose of principal component analysis is to derive a small number of independent linear combinations (principal components) of a set of variables that retain as much of the information in the ...
In the dialog, you choose a principal component scatter plot (Scatter Plot), a principal component biplot with standardized Y variables (Biplot (Std Y)), or a principal component biplot with centered ...
Transforming a dataset into one with fewer columns is more complicated than it might seem, explains Dr. James McCaffrey of Microsoft Research in this full-code, step-by-step machine learning tutorial.
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