How to get an intuition to draw the eigenvectors for PCA?
10466
Making sense of principal component analysis, eigenvectors & eigenvalues
155433
Examples of PCA where PCs with low variance are "useful"
14320
How to prove that eigenvectors from different eigenvalues are linearly independent
92744
These two operators commute...but their eigenvectors aren't all the same. Why?
2632
PCA and the train/test split
81049
What norm of the reconstruction error is minimized by the low-rank approximation matrix obtained with PCA?
108132
How Do I Compute the Eigenvalues of a Small Matrix?
13640
What is the importance of eigenvalues/eigenvectors?
51254
How to project a new vector onto the PC space using kernel PCA?
14181
Can averaging all the variables be seen as a crude form of PCA?
106024
The eigenvalues and corresponding eigenvectors for the matrix
34539
How to intuitively understand eigenvalue and eigenvector?
7603
Relationship between SVD and PCA. How to use SVD to perform PCA?
49582
How to visualize what canonical correlation analysis does (in comparison to what principal component analysis does)?
79786
How would PCA help with a k-means clustering analysis?
157246
Adjoint matrix eigenvalues and eigenvectors
13726
What is the intuition behind SVD?