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.