A general joint matrix factorization framework for data integration
- JMF (Joint Matrix Factorization) is a MATLAB package to integrate multi-view data as well as prior relationship knowledge within or between multi-view data for pattern recognition and data mining.
- Four update rules are adopted for solving JMF.
- Two adapted prediction JMF models based on JMF are provided.
Check out our paper for a more complete description of the methods (L. Zhang and S. Zhang, IEEE Transactions on Fuzzy Systems, 2019).
If you have any problems, comments or suggestions, please contact us at Lihua Zhang ([email protected]) or Shihua Zhang ([email protected]).