Projection Pursuit
Projection Pursuit is a multivariate statistical technique that identifies low-dimensional projections of high-dimensional data by optimizing a criterion function to reveal structurally interesting patterns, such as non-Gaussian structures or clusters, that deviate from randomness or normality.
475
Publications
43.1K
Citations
1.1K
Authors
512
Institutions
Publications per year
2017–2026
115
Parents
475
Jerome H. Friedman, Werner Stuetzle · Journal of the American Statistical Association · 1981 · 2.1K citations · Full text
Regularization Theory and Neural Networks Architectures
Federico Girosi, Michael Jones, Tomaso Poggio · Neural Computation · 1995 · 1.4K citations
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Stanford University
Stanford, United States
14 h-index
21 publications
7.3K citations
Lanzhou University
Lanzhou, China
11 h-index
42 publications
1.2K citations
Iowa State University
Ames, United States
10 h-index
15 publications
1.5K citations
University of the West of Scotland
Paisley, United Kingdom
8 h-index
13 publications
2.7K citations

Hohai University
Nanjing, China
8 h-index
18 publications
634 citations
Dalhousie University
Halifax, Canada
7 h-index
10 publications
257 citations
Stanford Synchrotron Radiation Lightsource
Menlo Park, United States
7 h-index
11 publications
8.3K citations
University of Washington
Seattle, United States
7 h-index
22 publications
2.3K citations
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17 publications · 4.7K citations
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16 publications · 5.7K citations
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JCGS · 15 publications · 1.1K citations
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12 publications · 7K citations
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