¿What is the difference between scores and Principal Components in PCA?
112134
What are principal component scores?
104236
Factor analysis and regression
118103
Does PCA's reconstruction error get reduced with more PCs being used?
143908
What are "rotated" and "unrotated" principal components, given that PCA always rotates the coordinates axes?
82178
Does it make sense to combine PCA and LDA?
74282
Can I use PCA (or should I use regression) for testing the effect of multiple variables on one dependent variable?
90089
Why are PCA eigenvectors orthogonal and what is the relation to the PCA scores being uncorrelated?
26181
Using principal component analysis (PCA) for feature selection
48567
Skewed variables in PCA or factor analysis
11188
Can principal component analysis be applied to datasets containing a mix of continuous and categorical variables?
85010
What're the differences between PCA and autoencoder?
89237
PCA: Eigenvectors of opposite sign and not being able to compute eigenvectors with `solve` in R
7603
Relationship between SVD and PCA. How to use SVD to perform PCA?
25535
Categorical Principal Component Analysis - using Count, Continuous, Ordinal variables together
29381
How to perform dimensionality reduction with PCA in R
34844
What is dimensionality reduction? What is the difference between feature selection and extraction?
81049
What norm of the reconstruction error is minimized by the low-rank approximation matrix obtained with PCA?