[![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.)