Svd, Machine Learning, Data Science, Artificial Intelligence, Matrix Factorization.
structures, such as tensors and graphs. Tensor SVD and Graph SVD are useful for analyzing complex data structures in fields such as computer vision and network analysis. Applications Dimensionality Reduction: SVD is often used for dimensionality reduction by keeping only the k largest singular