Metadata-Version: 1.1
Name: PyMF
Version: 0.1.9
Summary: Python Matrix Factorization Module
Home-page: http://code.google.com/p/pymf/
Author: Christian Thurau
Author-email: cthurau@googlemail.com
License: OSI Approved :: GNU General Public License (GPL)
Description: 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)
        * 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
        
Platform: UNKNOWN
Requires: cvxopt
