Svd.
SVD is often applied to much larger datasets with higher dim. Conclusion: Singular Value Decomposition (SVD) is a versatile matrix factorization technique that finds applications in various fields. Its ability to extract meaningful information, reduce dimensionality, and approximate matrices makes