Vantage-point Trees

Vantage-Point Trees is a space-partitioning data structure that organizes metric data by recursively selecting distinguished points (vantage points) and partitioning the remaining points based on their distance from these vantage points.

14

Publications

1.5K

Citations

39

Authors

27

Institutions

Publications per year

2017–2026

3

Variants

Vp Trees

Authors

39

  1. LV
    Laurens van der Maaten

    Delft University of Technology, Netherlands

    2 publications · 78 citations

    2

    h-index

  2. AV
    Alexander van Renen

    Technical University of Munich, Germany

    1 publications · 12 citations

    1

    h-index

  3. AK
    Alfons Kemper

    Technical University of Munich, Germany

    1 publications · 12 citations

    1

    h-index

  4. LA
    Luís A. Montero

    University of Havana, Cuba

    1 publications · 19 citations

    1

    h-index

  5. JC
    Julio Caballero

    University of Talca, Chile

    1 publications · 19 citations

    1

    h-index

1–5 of 39

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 78 citations

    2

    h-index

  2. Bioinformatics

    1 publications · 19 citations

    1

    h-index

  3. Data Science and Engineering

    1 publications · 12 citations

    1

    h-index

  4. Security and Communication Networks

    1 publications · 20 citations

    1

    h-index

  5. African Journal of Ecology

    1 publications · 88 citations

    1

    h-index

1–5