Singular Value Decomposition: If we want a matrix of a particular rank, we use SVD. i.e we reduce the dimensionality by keeping the matrix as close as possible to the original.
Dimensionality Reduction:Transformation of data in high dimensional space to a space of fewer dimensions.
Archana
