Cluster Benchmarking
Cluster Benchmarking is a systematic evaluation methodology that distinguishes itself by assessing the performance, competitiveness, and developmental trajectory of industrial clusters against peer groups or best-in-class standards within the same economic sector or geographic domain.
60
Publications
3.4K
Citations
157
Authors
80
Institutions
Publications per year
2017–2026
21
Parents
60
Virginia Klema, Jack Dongarra, James R. Bunch et al. · Mathematics of Computation · 1980 · 648 citations
K-means properties on six clustering benchmark datasets
Pasi Fränti, Sami Sieranoja · Applied Intelligence · 2018 · 511 citations
1–5 of 60
157
Vilnius Gediminas Technical University, Lithuania
5 publications · 128 citations
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2
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1–5 of 157
80

Vilnius Gediminas Technical University
Vilnius, Lithuania
3 h-index
5 publications
113 citations
Michigan State University
East Lansing, United States
2 h-index
4 publications
718 citations

York University
Toronto, Canada
2 h-index
4 publications
66 citations
Roma Tre University
Rome, Italy
2 h-index
3 publications
75 citations
Intel (United States)
Santa Clara, United States
2 h-index
8 publications
288 citations
Virginia Commonwealth University
Richmond, United States
2 h-index
5 publications
173 citations
University of Applied Sciences Stralsund
Stralsund, Germany
1 h-index
1 publications
25 citations
BOKU University
Vienna, Austria
1 h-index
2 publications
38 citations
1–8 of 80
2 publications · 53 citations
2
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2 publications · 38 citations
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Repository · 2 publications · 26 citations
2
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2 publications · 93 citations
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2 publications · 29 citations
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