Document Clustering
Document Clustering is a text analytics technique that groups unlabeled documents into coherent clusters based on semantic similarity, distinguishing itself from classification by operating without predefined labels.
7.4K
Publications
599.1K
Citations
14.9K
Authors
3.2K
Institutions
Publications per year
2017–2026
2K
7.4K
Introduction to information retrieval
Choice Reviews Online · 2009 · 12.6K citations
A tutorial on spectral clustering
Ulrike von Luxburg · Statistics and Computing · 2007 · 10.3K citations · Full text
Data clustering: 50 years beyond K-means
Anil K. Jain · Pattern Recognition Letters · 2009 · 9.2K citations
Algorithms for Clustering Data
Warren S. Sarle, Anil K. Jain, Richard C. Dubes · Technometrics · 1990 · 7.8K citations
1–5 of 7.4K
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3.2K
Tsinghua University
Beijing, China
39 h-index
167 publications
10.5K citations

Northwestern Polytechnical University
Xi'an, China
38 h-index
191 publications
9.2K citations

Centre National de la Recherche Scientifique
Paris, France
38 h-index
168 publications
9.7K citations

Chinese Academy of Sciences
Beijing, China
38 h-index
184 publications
17.2K citations
Carnegie Mellon University
Pittsburgh, United States
34 h-index
138 publications
16.2K citations
Nanyang Technological University
Singapore, Singapore
34 h-index
168 publications
6.5K citations

University of Electronic Science and Technology of China
Chengdu, China
34 h-index
146 publications
11.7K citations
University of Illinois Urbana-Champaign
Urbana, United States
33 h-index
154 publications
12.7K citations
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301 publications · 29.2K citations
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198 publications · 14.6K citations
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194 publications · 11.3K citations
55
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TKDE · 105 publications · 12.9K citations
52
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134 publications · 8.4K citations
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