Kernel Clustering
Kernel Clustering is a clustering method that belongs to the class of kernel-based learning techniques, distinguished by its use of a kernel function to map input data into a higher-dimensional feature space where nonlinear cluster structures can be identified more effectively.
404
Publications
21.4K
Citations
1K
Authors
450
Institutions
Publications per year
2017–2026
179
Variants
Kernel-based Clustering
Parents
404
Text Mining Infrastructure in<i>R</i>
Ingo Feinerer, Kurt Hornik, David Meyer · Journal of Statistical Software · 2008 · 1.1K citations · Full text
Mercer kernel-based clustering in feature space
Mark Girolami · IEEE Transactions on Neural Networks · 2002 · 904 citations
A survey of kernel and spectral methods for clustering
Maurizio Filippone, Francesco Camastra, Francesco Masulli et al. · Pattern Recognition · 2007 · 829 citations
Multiple Kernel Fuzzy Clustering
Hsin-Chien Huang, Yung‐Yu Chuang, Chu‐Song Chen · IEEE Transactions on Fuzzy Systems · 2011 · 412 citations
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450

National University of Defense Technology
Changsha, China
21 h-index
119 publications
7.7K citations
KU Leuven
Leuven, Belgium
16 h-index
63 publications
2.2K citations
Nanjing University of Science and Technology
Nanjing, China
11 h-index
31 publications
2.2K citations
Southwest University of Science and Technology
Mianyang, China
10 h-index
29 publications
1.4K citations
China University of Geosciences
Wuhan, China
8 h-index
18 publications
801 citations

Chinese Academy of Sciences
Beijing, China
7 h-index
20 publications
996 citations

University of Alberta
Edmonton, Canada
7 h-index
11 publications
1.2K citations
Dalian University of Technology
Dalian, China
7 h-index
15 publications
574 citations
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15 publications · 1.5K citations
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14 publications · 556 citations
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11 publications · 537 citations
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TFS · 11 publications · 1.4K citations
11
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10 publications · 544 citations
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