Jul 2026
TreeCCA: Canonical Correlation Analysis via Gradient-Boosted Trees
TreeCCA is the first CCA method to combine nonlinear accuracy with native interpretability: every tree split selects one feature, so gain importances reveal which inputs drive cross-view correlation at no extra cost.
James Chapman
· arXiv.org · 0 citations