Cluster Stability Visualization

Cluster Stability Visualization is a visual analytics method that represents the consistency and robustness of clustering results across varying parameters or resampled datasets to assess the reliability of identified cluster structures.

6

Publications

1.5K

Citations

15

Authors

7

Institutions

Publications per year

2017–2026

0

Authors

15

  1. JA
    Jos A. Hageman

    Wageningen University & Research, Netherlands

    1 publications · 32 citations

    1

    h-index

  2. JH
    Jeffrey Heer

    University of Washington, United States

    1 publications · 35 citations

    1

    h-index

  3. YZ
    Yifan Zhang

    Chinese Academy of Sciences, China

    1 publications · 16 citations

    1

    h-index

  4. RA
    Robert A. van den Berg

    GlaxoSmithKline (Belgium), Belgium

    1 publications · 32 citations

    1

    h-index

  5. AB
    Asa Ben‐Hur

    Colorado State University, United States

    1 publications · 547 citations

    1

    h-index

1–5 of 15

Venues

  1. Computational Statistics & Data Analysis

    CSDA · 1 publications · 810 citations

    1

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 16 citations

    1

    h-index

  3. Pattern Recognition

    1 publications · 70 citations

    1

    h-index

  4. Metabolomics

    1 publications · 32 citations

    1

    h-index

1–4