A tutorial on Principal Components Analysis - Otago
I have included a section on Statistics which looks at distribution measurements, or, how the data is spread out. The other section is on Matrix Algebra and looks at eigenvectors and eigenvalues, important properties of matrices that are fundamental to PCA. 2.1 Statistics
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