Active Learning For Clustering
Active Learning for Clustering is a machine learning framework that iteratively selects the most informative instances for labeling to improve clustering performance by leveraging human feedback in guiding the formation of data groupings.
81
Publications
5.2K
Citations
254
Authors
116
Institutions
Publications per year
2017–2026
30
Parents
81
Active learning using pre-clustering
Hieu T. Nguyen, A.W.M. Smeulders · 2004 · 653 citations · Full text
Active Semi-Supervision for Pairwise Constrained Clustering
Sugato Basu, Arindam Banerjee, Raymond J. Mooney · 2004 · 600 citations
Hierarchical sampling for active learning
Sanjoy Dasgupta, Daniel Hsu · 2008 · 458 citations
Active co-analysis of a set of shapes
Yunhai Wang, Shmulik Asafi, Oliver van Kaick et al. · ACM Transactions on Graphics · 2012 · 264 citations
1–5 of 81
254
3
h-index
3
h-index
2
h-index
2
h-index
2
h-index
1–5 of 254
116
Universidade de São Paulo
São Paulo, Brazil
4 h-index
11 publications
181 citations

Shanghai Jiao Tong University
Shanghai, China
3 h-index
3 publications
57 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
6 publications
265 citations
Wuhan University
Wuhan, China
2 h-index
7 publications
221 citations
The University of Texas at Dallas
Richardson, United States
2 h-index
3 publications
86 citations
Université de Tours
Tours, France
2 h-index
2 publications
38 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
3 publications
122 citations
Simon Fraser University
Burnaby, Canada
2 h-index
4 publications
582 citations
1–8 of 116
IDA · 4 publications · 56 citations
4
h-index
TKDE · 4 publications · 333 citations
4
h-index
2 publications · 140 citations
2
h-index
2 publications · 44 citations
2
h-index
2 publications · 74 citations
2
h-index
1–5