Cluster Analysis Visualization

Cluster Analysis Visualization is a visual representation method that enables the exploration and interpretation of clustered structures in high-dimensional scientific data by spatially organizing data points according to their similarity, thereby distinguishing patterns, outliers, and relationships inherent in the clustering results.

312

Publications

45K

Citations

842

Authors

401

Institutions

Publications per year

2017–2026

60

Authors

842

  1. JC
    James C. Bezdek

    University of West Florida, United States

    9 publications · 848 citations

    9

    h-index

  2. DA
    Daniel A. Keim

    University of Konstanz, Germany

    6 publications · 357 citations

    6

    h-index

  3. RJ
    Richard J. Hathaway

    Georgia Southern University, United States

    5 publications · 606 citations

    5

    h-index

  4. KR
    K. Rajendra Prasad

    Indian Institute of Science Bangalore, India

    5 publications · 82 citations

    5

    h-index

  5. GG
    Georges Grinstein

    University of Massachusetts Lowell, United States

    4 publications · 134 citations

    4

    h-index

1–5 of 842

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 12 publications · 995 citations

    12

    h-index

  2. BMC Bioinformatics

    8 publications · 370 citations

    8

    h-index

  3. Bioinformatics

    7 publications · 212 citations

    7

    h-index

  4. Computer Graphics Forum

    5 publications · 451 citations

    5

    h-index

  5. 4

    h-index

1–5