The percentage of total variance explained by a principal component in PCA can be calculated by dividing the Eigenvalue of that component by the ________.
- magnitude of Eigenvectors
- number of Eigenvectors
- number of components
- sum of all Eigenvalues
The percentage of total variance explained by a principal component is calculated by dividing its Eigenvalue by the "sum of all Eigenvalues." This ratio gives the proportion of the dataset's total variance that is captured by that specific component.
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