Explain the process of selecting the number of principal components in PCA.
- By choosing an arbitrary number
- By selecting all eigenvectors
- By using only the first eigenvector
- By using the elbow method and the cumulative explained variance
The number of principal components in PCA can be selected by considering the cumulative explained variance and looking for an "elbow" in the plot, where adding more components does not significantly increase the explained variance.
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