How does PCA relate to the Singular Value Decomposition (SVD) technique?
- PCA can be implemented using SVD
- SVD is a prerequisite for PCA
- SVD is a type of PCA
- They are entirely different techniques
PCA can be implemented using SVD. Both techniques can be used for dimensionality reduction, and they both rely on eigenvalue decomposition, but SVD decomposes the data matrix directly, while PCA works on the covariance matrix of the data.
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