UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

McInnes, L., Healy, J., & Melville, J. (2018). UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction. Journal of Open Source Software.

Type

Preprint

Intellectual base

Grey literature

Year

2018

Link

https://arxiv.org/abs/1802.03426

Cited from

mathematics, statistics_experimental_design

Cited by

2 citations across 2 artifacts.

Each citation links to the sentence it supports in the citing article.

Primes

• Dimension
  • UMAP

    This sourceNonlinear manifold dimensionality reduction grounded in Riemannian geometry and algebraic topology, balancing local and global structure.

• Dimensionality Reduction
  • A national specialty retail chain with approximately 4 million active loyalty members rebuilt customer segmentation using dimensionality reduction

    This sourceUMAP topological-preservation method.

Verification

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Does it back the claim? Recorded for 1 of 2 citations of this work.

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