Interactive Clustering
Interactive Clustering is a data clustering method that distinguishes itself by incorporating real-time human feedback and iterative refinement into the clustering process to dynamically guide the formation and adjustment of clusters according to user-defined criteria and domain knowledge.
74
Publications
3.2K
Citations
222
Authors
109
Institutions
Publications per year
2017–2026
17
Parents
74
J-Express: exploring gene expression data using Java
Bjarte Dysvik, Inge Jonassen · Bioinformatics · 2001 · 319 citations · Full text
Interactive visual clustering of large collections of trajectories
Gennady Andrienko, Natalia Andrienko, Salvatore Rinzivillo et al. · 2009 · 211 citations
iVisClustering: An Interactive Visual Document Clustering via Topic Modeling
Han‐Seung Lee, Jaeyeon Kihm, Jaegul Choo et al. · Computer Graphics Forum · 2012 · 163 citations
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Luxembourg Institute of Science and Technology, Luxembourg
3 publications · 67 citations
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1–5 of 222
109
Dalhousie University
Halifax, Canada
4 h-index
11 publications
236 citations

University of Massachusetts Amherst
Amherst Center, United States
3 h-index
6 publications
179 citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
8 publications
755 citations
University of Stuttgart
Stuttgart, Germany
3 h-index
7 publications
151 citations
Universidade de São Paulo
São Paulo, Brazil
3 h-index
5 publications
111 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
2 publications
102 citations
Électricité de France (France)
Paris, France
2 h-index
4 publications
80 citations
IBM (United States)
Armonk, United States
2 h-index
3 publications
192 citations
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Repository · 4 publications · 93 citations
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3 publications · 63 citations
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IDA · 3 publications · 50 citations
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2 publications · 243 citations
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2 publications · 87 citations
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