T-sne Visualization
t-SNE Visualization is a dimensionality reduction technique that distinguishes itself by preserving local structures in high-dimensional data through probabilistic modeling of pairwise similarities in a lower-dimensional embedding.
114
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64.1K
Citations
371
Authors
190
Institutions
Publications per year
2017–2026
97
114
Laurens van der Maaten, Geoffrey E. Hinton · Journal of Machine Learning Research · 2008 · 35.7K citations
UMAP: Uniform Manifold Approximation and Projection
Leland McInnes, John Healy, Nathaniel Saul et al. · The Journal of Open Source Software · 2018 · 9.6K citations · Full text
Accelerating t-SNE using tree-based algorithms
Laurens van der Maaten · 2014 · 2.4K citations
The art of using t-SNE for single-cell transcriptomics
Dmitry Kobak, Philipp Berens · Nature Communications · 2019 · 1.1K citations · Full text
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190

Delft University of Technology
Delft, The Netherlands
7 h-index
17 publications
3.3K citations

University of Tübingen
Tübingen, Germany
3 h-index
7 publications
2.5K citations
University of California San Diego
San Diego, United States
3 h-index
5 publications
170 citations
Central China Normal University
Wuhan, China
3 h-index
19 publications
227 citations
University of California, Los Angeles
Los Angeles, United States
3 h-index
4 publications
472 citations

Salk Institute for Biological Studies
La Jolla, United States
3 h-index
5 publications
170 citations
Michigan State University
East Lansing, United States
3 h-index
6 publications
94 citations

University of Ljubljana
Ljubljana, Slovenia
3 h-index
8 publications
737 citations
1–8 of 190
Repository · 13 publications · 8.2K citations
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Repository · 5 publications · 292 citations
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TVCG · 4 publications · 414 citations
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3 publications · 398 citations
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3 publications · 1.8K citations
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