how does svd reduce dimension?
Using SVD for Dimensionality Reduction. SVD, or Singular Value Decomposition, is one of several techniques that can be used to reduce the dimensionality, i.e., the number of columns, of a data set. ... In predictive analytics, more columns normally means more time required to build models and score data.