Quantifying Local and Global Fidelity of Nonlinear Embeddings
arXiv:2611.00290v1 Announce Type: new Abstract: Dimension reduction methods are chosen by a common claim: t-SNE and UMAP preserve local structure, and PCA preserves global structure. Checking it on given data takes local and global scores on one scale and a test that compares two maps. Both scores…
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- 2026-11-03 05:00 · arXiv cs.AI
Quantifying Local and Global Fidelity of Nonlinear Embeddings