Cluster Similarity is a quantitative measure used in cluster analysis to assess the degree of resemblance between clusters based on their structural, positional, or attribute-based characteristics, distinguishing it from general similarity metrics by its focus on group-level patterns rather than individual data points.
522
Publications
49.4K
Citations
1.5K
Authors
612
Institutions
Publications per year
2017–2026
168
Parents
Publications
522
1–5 of 522
Authors
1.5K
- JL
6
h-index
- MG
6
h-index
- JC
5
h-index
- MC
5
h-index
- FC
4
h-index
1–5 of 1.5K
Institutions
612
Michigan State University
East Lansing, United States
7 h-index
9 publications
894 citations
City University of Hong Kong
Hong Kong, Hong Kong
7 h-index
9 publications
406 citations
Shanxi University
Taiyuan, China
7 h-index
19 publications
904 citations
Beijing Jiaotong University
Beijing, China
6 h-index
9 publications
357 citations
Newcastle University
Newcastle upon Tyne, United Kingdom
6 h-index
11 publications
710 citations
Xidian University
Xi'an, China
5 h-index
14 publications
580 citations
National Taiwan University
Taipei, Taiwan
5 h-index
13 publications
639 citations
University of Tsukuba
Tsukuba, Japan
5 h-index
12 publications
330 citations
1–8 of 612
Venues
- Pattern Recognition
16 publications · 1.3K citations
15
h-index
- IEEE Transactions on Knowledge and Data Engineering
TKDE · 10 publications · 880 citations
10
h-index
- arXiv (Cornell University)
Repository · 9 publications · 152 citations
9
h-index
- IEEE Transactions on Pattern Analysis and Machine Intelligence
TPAMI · 8 publications · 10K citations
8
h-index
- Expert Systems with Applications
7 publications · 351 citations
7
h-index
1–5