Neighborhood Component Analysis (NCA)

A distance metric learning for nearest neighbors classification. It learns a transformer that optimizes the expected Leave One Out validation score over the training set.

Watch the full NCA documentation here.

References

Jacob Goldberger et al. “Neighbourhood components analysis”. In: Advances in neural information processing systems. 2005, pages 513-520.