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

Publications

64.1K

Citations

371

Authors

190

Institutions

Publications per year

2017–2026

97

Authors

371

  1. LV
    Laurens van der Maaten

    Delft University of Technology, Netherlands

    5 publications · 38.5K citations

    5

    h-index

  2. XH
    Xiaohua Hu

    Drexel University, United States

    4 publications · 62 citations

    4

    h-index

  3. DK
    Dmitry Kobak

    University of Tübingen, Germany

    4 publications · 1.3K citations

    4

    h-index

  4. PB
    Philipp Berens

    University of Tübingen, Germany

    4 publications · 1.3K citations

    4

    h-index

  5. XJ
    Xingpeng Jiang

    Central China Normal University, China

    4 publications · 62 citations

    4

    h-index

1–5 of 371

Venues

  1. arXiv (Cornell University)

    Repository · 13 publications · 8.2K citations

    12

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 5 publications · 292 citations

    5

    h-index

  3. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 4 publications · 414 citations

    4

    h-index

  4. Machine Learning

    3 publications · 398 citations

    3

    h-index

  5. Nature Communications

    3 publications · 1.8K citations

    3

    h-index

1–5