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principal component analysis
主成分分析
CA : correspondence analysis (for contingency tables)
Multiple correspondence analysis (for qualitative variables)
Factor analysis of mixed data (for quantitative and qualitative variables)
Canonical correlation
CUR matrix approximation (can replace of low-rank SVD approximation)
Detrended correspondence analysis
Directional component analysis
Dynamic mode decomposition
Eigenface
Expectation–maximization algorithm
Exploratory factor analysis (Wikiversity)
Factorial code
Functional principal component analysis
Geometric data analysis
Independent component analysis
Kernel PCA
L1-norm principal component analysis
Low-rank approximation
Matrix decomposition
Non-negative matrix factorization
Nonlinear dimensionality reduction
Oja's rule
Point distribution model (PCA applied to morphometry and computer vision)
Principal component analysis (Wikibooks)
Principal component regression
Singular spectrum analysis
Singular value decomposition
Sparse PCA
Transform coding
Weighted least squares

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