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Matrix Factorization Methods for Python (pymf) ============================================== 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) * Heirachical Convex-hull non-negative matrix factorization (HCHNMF) * 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 * Contact email: richardweiss at richardweiss.org Requires -------- * Linux, Mac OS-X or Windows * Python 2.5 or 2.6 * NumPy, Cvxopt, Scipy
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