Svd, Matrix Decomposition, Data Processing, Feature Engineering, Unsupervised Learning.
features extraction in order to reduce the number of features used in modeling. The difference is subtle. On the left are low rank approximations of the data that live in the original feature space. The effective dimension (rank) is low but the actual dimension hasn’t changed. On the right the