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News/ScaleMAP: Preserving Local Density and Neighborhood Structure in Low-Dimensional Embeddings
arxiv
PublishedJune 1, 2026 at 4:00 AM

ScaleMAP: Preserving Local Density and Neighborhood Structure in Low-Dimensional Embeddings

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arXiv:2605.30597v1 Announce Type: new Abstract: Nonlinear dimensionality-reduction methods such as UMAP and PaCMAP adaptively normalize local distances during graph construction, erasing neighborhood scale from the data. This distorts more than relative cluster sizes: sparse structures like bridges

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