The Eigenvalue corresponding to each principal component in PCA determines the ________ of that component.
- direction
- magnitude
- normalization
- scaling
In PCA, the Eigenvalue corresponding to a principal component determines its "magnitude," representing the amount of variance that component explains in the original data. A higher Eigenvalue indicates more significant variance explained by that component.
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