Modal Clustering
Modal Clustering is a clustering method that partitions data points into groups based on the local maxima of a probability density function estimated from the data, where each cluster corresponds to the basin of attraction of a mode in the density landscape.
35
Publications
1.1K
Citations
99
Authors
56
Institutions
Publications per year
2017–2026
21
Variants
Mode-seeking Clustering
Parents
35
Energy efficient clustering for WSN-based structural health monitoring
Xuefeng Liu, Jiannong Cao, Steven Lai et al. · 2011 · 88 citations
Multi-modal Clustering for Multimedia Collections
Ron Bekkerman, Jiwoon Jeon · 2007 · 76 citations
A population background for nonparametric density-based clustering
2014 · 66 citations
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Centre National de la Recherche Scientifique
Paris, France
2 h-index
5 publications
71 citations

Universidad de Extremadura
Badajoz, Spain
2 h-index
3 publications
67 citations

University of Louisville
Louisville, United States
2 h-index
4 publications
90 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
6 publications
141 citations
Chang'an University
Xi'an, China
2 h-index
8 publications
179 citations
Universidad Nacional Autónoma de México
Mexico City, Mexico
2 h-index
3 publications
48 citations
University of Oxford
Oxford, United Kingdom
1 h-index
3 publications
69 citations

Zhengzhou University
Zhengzhou, China
1 h-index
3 publications
60 citations
1–8 of 56
Repository · 4 publications · 73 citations
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3 publications · 80 citations
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2 publications · 43 citations
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TPAMI · 1 publications · 25 citations
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CSDA · 1 publications · 11 citations
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