In the context of PCA, the ________ are unit vectors that define the directions of maximum variance, whereas the ________ represent the magnitude of variance in those directions.
- Eigenvalues, Eigenvectors
- Eigenvectors, Eigenvalues
- principal components, Eigenvectors
- principal directions, magnitudes
In PCA, the "Eigenvectors" are unit vectors that define the directions of maximum variance in the data, whereas the "Eigenvalues" represent the magnitude of variance in those directions. Together, they form the core mathematical components of PCA.
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