Unsupervised Image Clustering
Unsupervised Image Clustering is a machine learning approach that partitions image data into meaningful groups based on intrinsic visual similarities without relying on labeled training examples.
330
Publications
16.1K
Citations
1.1K
Authors
491
Institutions
Publications per year
2017–2026
129
Parents
330
Image segmentation by clustering
G.B. Coleman, Harry C. Andrews · Proceedings of the IEEE · 1979 · 573 citations
Validity-guided (re)clustering with applications to image segmentation
A. Bensaid, Lawrence Hall, James C. Bezdek et al. · IEEE Transactions on Fuzzy Systems · 1996 · 424 citations
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491

Chinese Academy of Sciences
Beijing, China
7 h-index
28 publications
1.1K citations

Xidian University
Xi'an, China
7 h-index
20 publications
732 citations
University of Bonn
Bonn, Germany
5 h-index
17 publications
1.4K citations

Northwestern Polytechnical University
Xi'an, China
5 h-index
12 publications
290 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
4 h-index
6 publications
154 citations
University of Oxford
Oxford, United Kingdom
4 h-index
8 publications
1.2K citations
Michigan State University
East Lansing, United States
4 h-index
10 publications
608 citations

The University of Sydney
Sydney, Australia
4 h-index
12 publications
288 citations
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Repository · 14 publications · 953 citations
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TPAMI · 8 publications · 822 citations
8
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7 publications · 221 citations
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GRSL · 6 publications · 327 citations
6
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5 publications · 190 citations
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