Discriminant Analysis for Dimensionality Reduction: An Overview of Recent Developments

Jieping Ye; Shuiwang Ji

doi:10.1002/9780470522356.ch1

Discriminant Analysis for Dimensionality Reduction: An Overview of Recent Developments

Jieping Ye, Shuiwang Ji

Computing and Augmented Intelligence, School of (IAFSE-SCAI)

Research output: Chapter in Book/Report/Conference proceeding › Chapter

14 Scopus citations

Original language	English (US)
Title of host publication	Biometrics
Subtitle of host publication	Theory, Methods, and Applications
Publisher	John Wiley & Sons, Inc.
Pages	1-19
Number of pages	19
ISBN (Print)	9780470247822
DOIs	https://doi.org/10.1002/9780470522356.ch1
State	Published - Nov 11 2009

Keywords

Discriminant analysis for dimensionality reduction
Least squares formulation for LDA
Uncorrelated LDA (ULDA) and orthogonal LDA (OLDA) - representative algorithms

ASJC Scopus subject areas

General Mathematics

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10.1002/9780470522356.ch1

Cite this

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title = "Discriminant Analysis for Dimensionality Reduction: An Overview of Recent Developments",

keywords = "Discriminant analysis for dimensionality reduction, Least squares formulation for LDA, Uncorrelated LDA (ULDA) and orthogonal LDA (OLDA) - representative algorithms",

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KW - Uncorrelated LDA (ULDA) and orthogonal LDA (OLDA) - representative algorithms

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Discriminant Analysis for Dimensionality Reduction: An Overview of Recent Developments

Keywords

ASJC Scopus subject areas

Access to Document

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