#principal_component_analysis
Principal component analysis
Method of data analysis
Principal component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data preprocessing.
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Principal component analysis Kernel principal component analysis Functional principal component analysis Robust principal component analysis Multilinear principal component analysis Principal component regression Component analysis Factor analysis L1-norm principal component analysis Independent component analysis
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