Event Clustering

Event Clustering is a computational method that partitions event representations into coherent groups based on semantic or temporal similarity, distinguishing it from other event organization techniques by its unsupervised grouping of events into discrete clusters.

131

Publications

6.1K

Citations

400

Authors

208

Institutions

Publications per year

2017–2026

44

Authors

400

  1. KL
    Kunfeng Lai

    Tencent (China), China

    3 publications · 180 citations

    3

    h-index

  2. WP
    Wen-Chih Peng

    National Yang Ming Chiao Tung University, Taiwan

    2 publications · 31 citations

    2

    h-index

  3. SK
    Sang Kyum Kim

    Yonsei University, South Korea

    2 publications · 31 citations

    2

    h-index

  4. RM
    Riccardo Mattivi

    University of Trento, Italy

    2 publications · 36 citations

    2

    h-index

  5. LW
    Lynn Wilcox

    FX Palo Alto Laboratory, United States

    2 publications · 273 citations

    2

    h-index

1–5 of 400

Venues

  1. Information Processing & Management

    2 publications · 33 citations

    2

    h-index

  2. Multimedia Tools and Applications

    2 publications · 30 citations

    2

    h-index

  3. Knowledge-Based Systems

    2 publications · 61 citations

    2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 22 citations

    2

    h-index

  5. Geophysical Journal International

    GJI · 2 publications · 111 citations

    2

    h-index

1–5