Dimensional Embedding

Dimensional Embedding is a multivariate data visualization technique that maps high-dimensional data points into a lower-dimensional space while preserving inherent structural relationships among the data.

26

Publications

1.2K

Citations

81

Authors

42

Institutions

Publications per year

2017–2026

12

Authors

81

  1. CJ
    Christopher J. Butch

    Nanjing University, China

    1 publications · 18 citations

    1

    h-index

  2. DA
    Deepak Ajwani

    University College Cork, Ireland

    1 publications · 42 citations

    1

    h-index

  3. NH
    Nick Halmagyi

    Centre National de la Recherche Scientifique, France

    1 publications · 69 citations

    1

    h-index

  4. SD
    Sreyasee Das Bhattacharjee

    University of North Carolina at Charlotte, United States

    1 publications · 25 citations

    1

    h-index

  5. JW
    Janusz Wolny

    AGH University of Krakow, Poland

    1 publications · 43 citations

    1

    h-index

1–5 of 81

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 23 citations

    2

    h-index

  2. 2

    h-index

  3. Frontiers in Physics

    1 publications · 16 citations

    1

    h-index

  4. Physical Review A

    PRA · 1 publications · 34 citations

    1

    h-index

  5. 1

    h-index

1–5