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Shrinkage-based Diagonal Discriminant Analysis and Its Applications in High-Dimensional Data

โœ Scribed by Herbert Pang; Tiejun Tong; Hongyu Zhao


Book ID
109224129
Publisher
John Wiley and Sons
Year
2009
Tongue
English
Weight
182 KB
Volume
65
Category
Article
ISSN
0006-341X

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โœ Xiao-Sheng Zhuang; Dao-Qing Dai ๐Ÿ“‚ Article ๐Ÿ“… 2007 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 672 KB

Many pattern recognition applications involve the treatment of high-dimensional data and the small sample size problem. Principal component analysis (PCA) is a common used dimension reduction technique. Linear discriminate analysis (LDA) is often employed for classification. PCA plus LDA is a famous