Cluster Weight Distribution

Cluster Weight Distribution is a cluster-level analytical construct that characterizes the allocation of relative importance or influence weights among data points within a cluster to assess structural coherence and balance in the context of Cluster Compactness Management.

100

Publications

5.2K

Citations

245

Authors

136

Institutions

Publications per year

2017–2026

33

Authors

245

  1. AG
    Amin Golzari Oskouei

    University of Tabriz, Iran

    5 publications · 196 citations

    5

    h-index

  2. JT
    Jafar Tanha

    University of Tabriz, Iran

    2 publications · 49 citations

    3

    h-index

  3. AN
    A. N. Kasimatis

    University of California, Davis, United States

    3 publications · 41 citations

    3

    h-index

  4. SI
    Salvatore Ingrassia

    University of Catania, Italy

    3 publications · 161 citations

    3

    h-index

  5. JA
    James A. Wolpert

    University of California, Davis, United States

    3 publications · 104 citations

    3

    h-index

1–5 of 245

Venues

  1. Pattern Recognition

    7 publications · 892 citations

    7

    h-index

  2. American Journal of Enology and Viticulture

    AJEV · 6 publications · 129 citations

    6

    h-index

  3. Expert Systems with Applications

    4 publications · 416 citations

    4

    h-index

  4. Computational Statistics & Data Analysis

    CSDA · 3 publications · 220 citations

    3

    h-index

  5. Information Sciences

    3 publications · 44 citations

    3

    h-index

1–5