Graph-based Cluster Visualization
Graph-Based Cluster Visualization is a cluster visualization method that represents data clusters and their interrelationships through graph structures, where nodes denote clusters and edges encode relationships such as similarity or connectivity between them.
20
Publications
975
Citations
62
Authors
38
Institutions
Publications per year
2017–2026
1
Parents
20
1–5 of 20
62
2
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 62
38
Ludwig-Maximilians-Universität München
Munich, Germany
2 h-index
6 publications
315 citations

Nara Institute of Science and Technology
Ikoma, Japan
2 h-index
8 publications
177 citations
Loughborough University
Loughborough, United Kingdom
1 h-index
1 publications
33 citations
Laboratoire Traitement et Communication de l’Information
Palaiseau, France
1 h-index
2 publications
36 citations
Institut Polytechnique de Bordeaux
Bordeaux, France
1 h-index
3 publications
72 citations

University of Havana
Havana, Cuba
1 h-index
1 publications
18 citations
École Polytechnique
Palaiseau, France
1 h-index
1 publications
18 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
1 h-index
2 publications
340 citations
1–8 of 38
Conference · 2 publications · 188 citations
2
h-index
JCAC · 2 publications · 43 citations
2
h-index
1 publications · 12 citations
1
h-index
1 publications · 30 citations
1
h-index
TVCG · 1 publications · 82 citations
1
h-index
1–5