Python Matrix Factorization (PyMF) is a module for several constrained and unconstrained matrix factorization (and related) methods. It can be downloaded from this page http://pymf.googlecode.com/.

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)