Manifold Learning Visualization
Manifold Learning Visualization is a computational technique within single-cell data analysis that reduces high-dimensional gene expression profiles into lower-dimensional embeddings by preserving intrinsic geometric structures, thereby enabling the visualization of cell-level relationships as distinct patterns in two- or three-dimensional space.
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636
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29
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14
Institutions
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2017–2026
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Manifold learning visualization of network traffic data
Neal Patwari, Alfred O. Hero, Adam Pacholski · 2005 · 32 citations
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University of Michigan
Ann Arbor, United States
1 h-index
3 publications
96 citations
Bielefeld University
Bielefeld, Germany
1 h-index
1 publications
10 citations
Fudan University
Shanghai, China
1 h-index
1 publications
46 citations
Centre of Excellence in Mathematics
Bangkok, Thailand
1 h-index
1 publications
10 citations
Shandong Institute of Automation
Jinan, China
1 h-index
1 publications
46 citations

University of Cagliari
Cagliari, Italy
1 h-index
4 publications
68 citations
Technical University of Munich
Munich, Germany
1 h-index
4 publications
212 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
1 h-index
1 publications
53 citations
1–8 of 14
GRSL · 1 publications · 53 citations
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1 publications · 17 citations
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JMLR · 1 publications · 181 citations
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1 publications · 27 citations
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1 publications · 46 citations
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