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Principal component analysis
Principal component analysis is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components.
More at Wikipedia
Multilinear PCA
Correspondence analysis
More related topics
Eigenface
Geometric data analysis
Factorial code
Independent component analysis
Matrix decompositions
Multivariate statistics
Data analysis
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