Which mathematical concept is at the core of PCA?
- Differentiation
- Eigenvalues and Eigenvectors
- Integration
- Matrix Multiplication
PCA relies heavily on the concepts of Eigenvalues and Eigenvectors. These allow it to determine the axes along which the data has the most variance, which are used to form the new variables (principal components).
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