CoNMF

Co-Regularized Non-negative Matrix Factorization (CoNMF) [1] extends NMF (Non-negative Matrix Factorization) for multi-view clustering.

If using the codes, please cite the paper:

[1] Xiangnan He, Min-Yen Kan, Peichu Xie, Xiao Chen. Comment-based Multi-View Clustering of Web 2.0 Items. In Proc. of the 23rd international conference on World Wide Web (WWW '14), Seoul, South Korea, April 7-11, 2014, pp 771 - 782.

---

Steps to make the code run:

1. Install Python 2.7 (tested in 2.7.5)
2. Install numpy, scipy (http://www.scipy.org/)
3. Install sklean (http://scikit-learn.org/)
4. Install Munkres (https://pypi.python.org/pypi/munkres/)
5. Run main.py, you can get the main experimental results (Table 5 in [1]).

The above set-up steps are tested in Windows 7 and Mac OS.

If you have any issues in running the codes, feel free to contact the author Xiangnan He (xiangnanhe@gmail.com).