PyMF 0.2

What is PyMF?

Python Matrix Factorization (PyMF) is a module for several constrained/unconstrained matrix factorization (and related) methods. The module is early alpha and not very well tested.

PyMF currently includes the following methods:

• Non-negative matrix factorization (NMF)

• Convex non-negative matrix factorization (CNMF)

• Semi non-negative matrix factorization (SNMF)

• Archetypal analysis (AA)

• Simplex volume maximization (SiVM)

• Convex-hull non-negative matrix factorization (CHNMF)

• Binary matrix factorization (BNMF)

• Singular value decomposition (SVD)

• Principal component analysis (PCA)

• K-means clustering (Kmeans)

• CUR decomposition (CUR)

• Compaxt matrix decomposition (CMD)

Where to get it

• Main website, documentation: http://pymf.googlecode.com

• Contact email: cthurau at googlemail.com

Requires

• Linux, Mac OS-X or Windows

• Python 2.5 or 2.6

• NumPy, Cvxopt, Scipy