# McInnes 2018: UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

> Leland McInnes, John Healy, James Melville, 2018. 1 records on Mysteries Department cite it. The inductive methods survey uses it only to display the…

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# UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Leland McInnes, John Healy, James Melville, 2018. _arXiv_.

Introduces UMAP, a dimension-reduction method based on manifold learning and topology, widely used to lay out high-dimensional data in two or three dimensions.

**Voynich Manuscript** PreprintChecked against the original0

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## Cite it

```
McInnes, L., Healy, J., & Melville, J. (2018). UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction. arXiv. https://arxiv.org/abs/1802.03426
```

[Read it free at arxiv.org](https://arxiv.org/abs/1802.03426)

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