Quantifying local and global fidelity of nonlinear embeddings
Read the original at arxiv.org→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...
Original headline: "Quantifying Local and Global Fidelity of Nonlinear Embeddings"
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- Nov 3, 05:00 UTC arXiv cs.AI lead source Quantifying Local and Global Fidelity of Nonlinear Embeddings