svd_lls, a MATLAB code which uses the Singular Value Decomposition (SVD) to construct and plot the best affine and linear relationships in the sense of least square, between two vectors of data.
The linear relationship will have the form
( y - mean(y) ) = slope * ( x - mean(x) )
The affine relationship will have the form
y = slope * x + intercept
The computer code and data files described and made available on this web page are distributed under the MIT license
svd_lls is available in a MATLAB version.
svd_basis, a MATLAB code which computes a reduced basis for a collection of data vectors using the svd.
svd_test, a MATLAB code which demonstrates the singular value decomposition for a simple example.
svd_faces, a MATLAB code which applies singular value decomposition (svd) analysis to a set of images.
svd_fingerprint, a MATLAB code which reads a file containing a fingerprint image and uses the singular value decomposition (svd) to compute and display a series of low rank approximations to the image.
svd_gray, a MATLAB code which reads a gray scale image, computes the singular value decomposition (svd), and constructs a series of low rank approximations to the image.
svd_snowfall, a MATLAB code which reads a file containing historical snowfall data and analyzes the data with the singular value decomposition (svd).