After intense code optimization work, my implementation of OMP finally
beat least-angle regression! This was the primary issue discussed during
the pull request, so once performance was taken care of, the code was
ready for merge. Orthogonal matching pursuit is now available in
scikits.learn as a sparse linear regression …

[![Dictionary learned with K-Means on the LFW dataset with whitening
PCA][]][][![Dictionary learned with K-Means on the LFW dataset without
whitening PCA][]][]

One of the simplest, and yet most heavily constrained form of matrix
factorization, is vector quantization (VQ). Heavily used in image/video
compression, the VQ problem is a …

I am presenting an image denoising example that fully runs under my
local scikits-learn fork. Coming soon near you!

The 400 square pixels area covering Lena’s face was distorted by
additive gaussian noise with a standard deviation of 50 (pixel values
are ranged 0-256.)