Linear Discriminant Analysis
Linear Discriminant Analysis is a supervised linear transformation technique used in dimensionality reduction that maximizes class separability by projecting features onto a lower-dimensional space while preserving discriminative information.
13.7K
Publications
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Citations
43.6K
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7.6K
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2017–2026
2.9K
13.7K
Bootstrap Methods: Another Look at the Jackknife
B. Efron · The Annals of Statistics · 1979 · 17.4K citations · Full text
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Chinese Academy of Sciences
Beijing, China
47 h-index
279 publications
15.5K citations
University of Michigan
Ann Arbor, United States
45 h-index
289 publications
23.6K citations
University of California, Los Angeles
Los Angeles, United States
44 h-index
173 publications
26.8K citations

Centre National de la Recherche Scientifique
Paris, France
42 h-index
436 publications
31K citations
Stanford University
Stanford, United States
42 h-index
126 publications
33.6K citations

University of Toronto
Toronto, Canada
39 h-index
141 publications
18.8K citations

University of Minnesota
Minneapolis, United States
38 h-index
182 publications
15.3K citations
University of Illinois Urbana-Champaign
Urbana, United States
38 h-index
124 publications
21.1K citations
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TPAMI · 91 publications · 41K citations
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150 publications · 10.3K citations
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171 publications · 13.1K citations
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Repository · 245 publications · 13.4K citations
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80 publications · 18.3K citations
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