Cluster Summaries

Cluster Summaries is a data summarization technique that belongs to the class of clustering-based methods, distinguished by its generation of concise representations through the aggregation and condensation of information within identified data clusters.

40

Publications

1.8K

Citations

107

Authors

63

Institutions

Publications per year

2017–2026

9

Authors

107

  1. MS
    Mohamed S. Kamel

    University of Waterloo, Canada

    3 publications · 304 citations

    3

    h-index

  2. DW
    Daniel Weiskopf

    University of Stuttgart, Germany

    2 publications · 41 citations

    2

    h-index

  3. ON
    Olfa Nasraoui

    University of Louisville, United States

    2 publications · 36 citations

    2

    h-index

  4. WC
    Wei-Chao Chen

    Nokia (United States), United States

    2 publications · 95 citations

    2

    h-index

  5. KM
    Khaled M. Hammouda

    University of Waterloo, Canada

    2 publications · 72 citations

    2

    h-index

1–5 of 107

Venues

  1. BMC Bioinformatics

    2 publications · 83 citations

    2

    h-index

  2. Procedia Computer Science

    1 publications · 10 citations

    1

    h-index

  3. IEEE Transactions on Fuzzy Systems

    TFS · 1 publications · 14 citations

    1

    h-index

  4. PLoS Genetics

    1 publications · 188 citations

    1

    h-index

  5. 1

    h-index

1–5