Distance Metric Learning with Eigenvalue Optimization (DML-eig)

A global distance metric learning algorithm. It proposes an optimization problem alternative to LSI that can be solved with eigenvalue optimization.

Watch the full DML-eig documentation here.

References

Yiming Ying and Peng Li. “Distance metric learning with eigenvalue optimization”. In: Journal of Machine Learning Research 13.Jan (2012), pages 1-26.