Randomized Coreset Construction

Randomized Coreset Construction is a randomized geometric algorithmic technique that belongs to the class of data summarization methods, distinguished by its use of randomization to compute a weighted subset of points (a coreset) that approximately preserves key geometric properties of the original dataset with high probability.

7

Publications

274

Citations

11

Authors

6

Institutions

Publications per year

2017–2026

2

Authors

11

  1. MZ
    Morteza Zadimoghaddam

    Google (United States), United States

    2 publications · 76 citations

    2

    h-index

  2. TM
    Timothy M. Chan

    University of Waterloo, Canada

    2 publications · 108 citations

    2

    h-index

  3. VM
    Vahab Mirrokni

    Google (United States), United States

    2 publications · 76 citations

    2

    h-index

  4. SK
    Sanjeev Khanna

    University of Pennsylvania, United States

    1 publications · 43 citations

    1

    h-index

  5. TK
    Tran Khanh Dang

    Ho Chi Minh City University of Technology, Vietnam

    1 publications · 13 citations

    1

    h-index

1–5 of 11

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 44 citations

    2

    h-index

  2. Computational Geometry

    1 publications · 95 citations

    1

    h-index

  3. SN Computer Science

    1 publications · 13 citations

    1

    h-index

1–3