AI, Dimensionality Reduction, Machine Learning, Python, Data Science.
orthogonal basis for the row space of M. Please read this to dive deep into the maths behind it. 2. Reduced Form (Truncated SVD) For dimensionality reduction, a truncated version of SVD is often used. Select the top k largest singular values in Σ. These columns can be selected from Σ and the rows