Understanding PCA from the perspective of eigenspaces
10466
Making sense of principal component analysis, eigenvectors & eigenvalues
85031
How to interpret this PCA biplot to determine which attributes to pick?
155987
Canonical Correlation analysis without raw data (algebra of CCA)
89237
PCA: Eigenvectors of opposite sign and not being able to compute eigenvectors with `solve` in R
3089
Why PCA of data by means of SVD of the data?
56670
The intuition behind generalized eigenvectors
9286
Questions on PCA: when are PCs independent? why is PCA sensitive to scaling? why are PCs constrained to be orthogonal?
86082
Interpreting PCA scores
26181
Using principal component analysis (PCA) for feature selection
67095
Spectral Measures: Embedding
18014
Matrix multiplication: interpreting and understanding the process
117085
Linear Discriminant Analysis for $p=1$
155433
Examples of PCA where PCs with low variance are "useful"
55847
PCA demeaning the data
70245
Why is the eigenvector in PCA taken to be unit norm?
158264
Rotation of Matrices and their interpretation
14465
"Normalizing" variables for SVD / PCA