Cluster Validity Indices is a quantitative metric used in document clustering to evaluate the quality and reliability of clustering results by measuring the compactness, separation, and stability of clusters in relation to the inherent structure of the document collection.
449
Publications
35.3K
Citations
1.1K
Authors
538
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Publications per year
2017–2026
147
Variants
Cluster Validity MetricsClustering Validity Indices
Parents
Publications
449
On cluster validity for the fuzzy c-means model
Nikhil R. Pal, James C. Bezdek · IEEE Transactions on Fuzzy Systems · 1995 · 1.8K citations
Computing, Data Science, Data Mining +10
An extensive comparative study of cluster validity indices
Olatz Arbelaitz, Ibai Gurrutxaga, Javier Muguerza et al. · Pattern Recognition · 2012 · 1.4K citations
Education, Educational Assessment, Educational Measurement +14
1–5 of 449
Authors
1.1K
- JC
17
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- SB
14
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11
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- UM
10
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- RJ
5
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1–5 of 1.1K
Institutions
538
Indian Statistical Institute
Kolkata, India
20 h-index
39 publications
5.7K citations
Jadavpur University
Kolkata, India
10 h-index
19 publications
1.1K citations
University of West Florida
Pensacola, United States
9 h-index
11 publications
5.6K citations
City University of Hong Kong
Hong Kong, Hong Kong
9 h-index
16 publications
830 citations
University of Kalyani
Kalyani, India
9 h-index
10 publications
2.6K citations
The University of Melbourne
Melbourne, Australia
8 h-index
32 publications
1.5K citations
Universidade de São Paulo
São Paulo, Brazil
8 h-index
17 publications
2.3K citations
Tongji University
Shanghai, China
6 h-index
11 publications
568 citations
1–8 of 538
Venues
- IEEE Transactions on Fuzzy Systems
TFS · 16 publications · 3K citations
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- Pattern Recognition
15 publications · 3.1K citations
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- IEEE Access
13 publications · 348 citations
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- Pattern Recognition Letters
11 publications · 1.7K citations
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- Applied Soft Computing
9 publications · 389 citations
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