Parallel Clustering

Parallel Clustering is a computational method in scalable data mining that partitions datasets into clusters simultaneously across multiple processing units to enhance efficiency and scalability in handling large-scale data.

384

Publications

14K

Citations

1.1K

Authors

478

Institutions

Publications per year

2017–2026

124

Authors

1.1K

  1. WL
    Wei‐keng Liao

    Northwestern University, United States

    8 publications · 292 citations

    8

    h-index

  2. AA
    Ankit Agrawal

    Northwestern University, United States

    7 publications · 309 citations

    7

    h-index

  3. AC
    Alok Choudhary

    Northwestern University, United States

    5 publications · 237 citations

    5

    h-index

  4. NE
    Nadia Essoussi

    Tunis University, Tunisia

    5 publications · 86 citations

    5

    h-index

  5. CB
    Chiheb-Eddine Ben N’Cir

    Tunis University, Tunisia

    5 publications · 86 citations

    5

    h-index

1–5 of 1.1K

Venues

  1. Journal of Parallel and Distributed Computing

    11 publications · 339 citations

    11

    h-index

  2. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 9 publications · 273 citations

    9

    h-index

  3. The Journal of Supercomputing

    6 publications · 199 citations

    6

    h-index

  4. Information Sciences

    6 publications · 214 citations

    6

    h-index

  5. 5

    h-index

1–5