Locally Linear Embedding
Locally Linear Embedding is a nonlinear dimensionality reduction method that preserves local linear relationships among neighboring data points by reconstructing each point as a weighted combination of its neighbors and mapping it to a lower-dimensional space while maintaining these reconstruction weights.
362
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78.3K
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1K
Authors
390
Institutions
Publications per year
2017–2026
96
Parents
362
Laurens van der Maaten, Geoffrey E. Hinton · Journal of Machine Learning Research · 2008 · 35.7K citations
Nonlinear Dimensionality Reduction by Locally Linear Embedding
Sam T. Roweis, Lawrence K. Saul · Science · 2000 · 15K citations
Locality Preserving Projections
Xiaofei He, Partha Niyogi · 2003 · 4K citations
Super-resolution through neighbor embedding
Hong Chang, Dit‐Yan Yeung, Yimin Xiong · 2004 · 2K citations
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390

Chinese Academy of Sciences
Beijing, China
13 h-index
27 publications
1.8K citations
University of Pennsylvania
Philadelphia, United States
11 h-index
21 publications
4.2K citations

Zhejiang University
Hangzhou, China
9 h-index
17 publications
448 citations
Tsinghua University
Beijing, China
9 h-index
23 publications
1K citations

Peking University
Beijing, China
7 h-index
13 publications
419 citations

Chongqing University
Chongqing, China
6 h-index
19 publications
624 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
6 h-index
11 publications
1.2K citations
University College London
London, United Kingdom
6 h-index
17 publications
15.6K citations
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12 publications · 1K citations
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10 publications · 518 citations
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Repository · 9 publications · 266 citations
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8 publications · 250 citations
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7 publications · 187 citations
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