๐”– Bobbio Scriptorium
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Identification method of possibility distributions and its application to discriminant analysis

โœ Scribed by H. Tanaka; H. Ishibuchi; I. Hayashi


Publisher
Elsevier Science
Year
1993
Tongue
English
Weight
398 KB
Volume
58
Category
Article
ISSN
0165-0114

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Improved discriminate analysis for high-
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