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Comment
. 2021 Feb;39(2):156-157.
doi: 10.1038/s41587-020-00809-z. Epub 2021 Feb 1.

Initialization is critical for preserving global data structure in both t-SNE and UMAP

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Comment

Initialization is critical for preserving global data structure in both t-SNE and UMAP

Dmitry Kobak et al. Nat Biotechnol. 2021 Feb.
No abstract available

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References

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    1. McInnes, L., Healy, J. & Melville, J. UMAP: uniform manifold approximation and projection for dimension reduction. Preprint at https://arxiv.org/abs/1802.03426 (2018).
    1. Becht, E. et al. Dimensionality reduction for visualizing single-cell data using UMAP. Nat. Biotechnol. 37, 38–40 (2019). - DOI
    1. Belkin, M. & Niyogi, P. Laplacian eigenmaps and spectral techniques for embedding and clustering. In Advances in Neural Information Processing Systems 585–591 (2002).

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