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Python Matrix Factorization Module

Project description

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

Requires

  • Linux, Mac OS-X or Windows
  • Python 2.5 or 2.6
  • NumPy, Cvxopt, Scipy

Project details


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