Cluster Evaluation Metrics
Cluster Evaluation Metrics is a quantitative method used to assess the quality and validity of clustering results by measuring the degree of cluster cohesion, separation, and alignment with ground-truth labels or intrinsic data structures.
582
Publications
75.3K
Citations
1.3K
Authors
651
Institutions
Publications per year
2017–2026
199
Variants
Clustering Validation Metrics
Parents
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Indian Statistical Institute
Kolkata, India
13 h-index
19 publications
4.6K citations
Universidade de São Paulo
São Paulo, Brazil
10 h-index
20 publications
2.5K citations
Rutgers, The State University of New Jersey
New Brunswick, United States
9 h-index
14 publications
5.4K citations
Tsinghua University
Beijing, China
8 h-index
14 publications
1.1K citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
13 publications
475 citations

The University of Melbourne
Melbourne, Australia
7 h-index
22 publications
3.3K citations

City University of Hong Kong
Hong Kong, Hong Kong
7 h-index
9 publications
657 citations

University of Toronto
Toronto, Canada
7 h-index
9 publications
284 citations
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23 publications · 4.5K citations
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14 publications · 2.2K citations
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13 publications · 1.5K citations
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16 publications · 424 citations
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10 publications · 492 citations
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