PCA Why covariance matrix?
7603
Relationship between SVD and PCA. How to use SVD to perform PCA?
113346
What is the proper association measure of a variable with a PCA component (on a biplot / loading plot)?
154261
PCA when the dimensionality is greater than the number of samples
101622
Choosing number of principal components to retain
29381
How to perform dimensionality reduction with PCA in R
21224
Applying PCA to data that fail a normality test
154757
One component in PCA is always the mean vector in two-dimensions but not three
118103
Does PCA's reconstruction error get reduced with more PCs being used?
17025
What exactly is called "principal component" in PCA?
157062
Dimensionality reduction (SVD or PCA) on a large, sparse matrix
84446
How to project a new vector onto PCA space?
87448
Why is a sample covariance matrix singular when sample size is less than number of variables?
27102
Combining two covariance matrices
89237
PCA: Eigenvectors of opposite sign and not being able to compute eigenvectors with `solve` in R
55847
PCA demeaning the data
16523
How to compute classification accuracy of PCA?
6206
How does centering make a difference in PCA (for SVD and eigen decomposition)?