How to determine the number of factors in principle component analysis (PCA) when scree plot is ambiguous?
101622
Choosing number of principal components to retain
9286
Questions on PCA: when are PCs independent? why is PCA sensitive to scaling? why are PCs constrained to be orthogonal?
158823
Principal component analysis "backwards": how much variance of the data is explained by a given linear combination of the variables?
7603
Relationship between SVD and PCA. How to use SVD to perform PCA?
90089
Why are PCA eigenvectors orthogonal and what is the relation to the PCA scores being uncorrelated?
135047
Why does PCA maximize total variance of the projection?
118103
Does PCA's reconstruction error get reduced with more PCs being used?
123072
Three versions of discriminant analysis: differences and how to use them
118997
What are the four axes on PCA biplot?
129473
Analyse ACF and PACF plots
154304
Do PCA affect different classification methods?
55662
How to use principal components analysis to select variables for regression?
76740
Error parsing PCC subspaces from PCCT: ACPI PCC probe failed
29381
How to perform dimensionality reduction with PCA in R
14181
Can averaging all the variables be seen as a crude form of PCA?
155433
Examples of PCA where PCs with low variance are "useful"
116143
Ambiguity in number of basis vectors