Module 6: Dimensionality Reduction
Lecture 29: Singular Value Decomposition (SVD)
Dimensionality reduction using SVD
Use only
dimensions
Retain first
columns for
and
and first
values for
First
columns of
give the basis vectors in reduced space
Best rank
approximation in terms of sum squared error