# Progress on Orthogonal Matching Pursuit

Since orthogonal matching pursuit (OMP) is an important part of signal processing and therefore crucial to the image processing aspect of dictionary learning, I am currently focusing on optimizing the OMP code and making sure it is stable. OMP is a forward method like least-angle regression, so it is natural …

# SparsePCA in scikits.learn-git

I am happy to announce that the Sparse PCA code has been reviewed and merged into the main scikits.learn repository.

You can use it if you install the bleeding edge scikits.learn git version, by first downloading the source code as explained in the user’s guide, and then …

# K-Means for dictionary learning

[![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 …