Supervised UMAP works well for classification but shows clear limitations in incorporating response information for regression tasks.
Nonlinear dimension reduction with kernel sliced inverse regression.IEEE Transactions on Knowledge and Data Engineering, 21(11):1590–1603, 2009
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A Comparative Study of UMAP and Other Dimensionality Reduction Methods
Supervised UMAP works well for classification but shows clear limitations in incorporating response information for regression tasks.