Partitional Clustering
Partitional Clustering is a document clustering method that divides a set of documents into non-overlapping subsets by assigning each document to exactly one cluster based on similarity metrics, without creating hierarchical structures.
194
Publications
13.8K
Citations
477
Authors
273
Institutions
Publications per year
2017–2026
43
Variants
Non-hierarchical Clustering
194
A probabilistic framework for semi-supervised clustering
Sugato Basu, Mikhail Bilenko, Raymond J. Mooney · 2004 · 819 citations
Evaluation of hierarchical clustering algorithms for document datasets
Ying Zhao, George Karypis · 2002 · 553 citations · Full text
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The University of Texas at Austin
Austin, United States
5 h-index
15 publications
4.3K citations

University of Minnesota
Minneapolis, United States
4 h-index
9 publications
1.5K citations
Universidade de São Paulo
São Paulo, Brazil
4 h-index
6 publications
2.4K citations

City University of Hong Kong
Hong Kong, Hong Kong
4 h-index
8 publications
537 citations

University of Calabria
Rende, Italy
4 h-index
7 publications
216 citations

Shenzhen University
Shenzhen, China
3 h-index
8 publications
548 citations
Beijing Jiaotong University
Beijing, China
3 h-index
4 publications
248 citations
Jilin University
Changchun, China
3 h-index
6 publications
152 citations
1–8 of 273
TPAMI · 4 publications · 1.1K citations
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4 publications · 134 citations
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3 publications · 72 citations
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3 publications · 121 citations
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3 publications · 150 citations
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