Evolutionary Clustering
Evolutionary Clustering is a computational framework within evolutionary computation that dynamically groups data instances into clusters over time by iteratively applying evolutionary operators such as selection, mutation, and recombination to optimize cluster quality and adapt to changes in data distribution.
346
Publications
16.3K
Citations
907
Authors
450
Institutions
Publications per year
2017–2026
104
Parents
346
1–5 of 346
907
8
h-index
8
h-index
7
h-index
Institute for High Performance Computing and Networking, Italy
7 publications · 523 citations
7
h-index
6
h-index
1–5 of 907
450

Xidian University
Xi'an, China
14 h-index
55 publications
1.9K citations

Indian Statistical Institute
Kolkata, India
9 h-index
14 publications
1.7K citations
Universidade de São Paulo
São Paulo, Brazil
8 h-index
20 publications
3.3K citations
National Research Council
Rome, Italy
6 h-index
16 publications
1K citations

Shaanxi Normal University
Xi'an, China
6 h-index
9 publications
308 citations

Chinese Academy of Sciences
Beijing, China
6 h-index
9 publications
334 citations
Universidade Católica de Santos
Santos, Brazil
5 h-index
13 publications
517 citations
Tsinghua University
Beijing, China
5 h-index
13 publications
321 citations
1–8 of 450
9 publications · 352 citations
9
h-index
6 publications · 154 citations
7
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TKDE · 6 publications · 681 citations
6
h-index
6 publications · 1.3K citations
6
h-index
5 publications · 163 citations
5
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1–5