Manifold Visualization

Manifold Visualization is a dimensionality reduction technique that preserves the intrinsic geometric structure of high-dimensional data by projecting it into a lower-dimensional space while capturing the underlying nonlinear relationships among single cells.

24

Publications

36.6K

Citations

66

Authors

31

Institutions

Publications per year

2017–2026

8

Authors

66

  1. PB
    Philipp Berens

    University of Tübingen, Germany

    2 publications · 58 citations

    2

    h-index

  2. HB
    H. Barbach

    University of Kaiserslautern, Germany

    2 publications · 23 citations

    2

    h-index

  3. GS
    Gerik Scheuermann

    Leipzig University, Germany

    2 publications · 23 citations

    2

    h-index

  4. DK
    Dmitry Kobak

    University of Tübingen, Germany

    2 publications · 58 citations

    2

    h-index

  5. HH
    Hans Hagen

    University of Kaiserslautern, Germany

    2 publications · 23 citations

    2

    h-index

1–5 of 66

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 85 citations

    3

    h-index

  2. The Annals of Applied Statistics

    AOAS · 2 publications · 134 citations

    2

    h-index

  3. Neural Networks

    2 publications · 105 citations

    2

    h-index

  4. Informatica

    1 publications · 24 citations

    1

    h-index

  5. Journal of Machine Learning Research

    JMLR · 1 publications · 35.7K citations

    1

    h-index

1–5