*Why* are eigenvectors the principal components in Principal Component Analysis?
10466
Making sense of principal component analysis, eigenvectors & eigenvalues
102166
What is the relation between rank of a matrix, its eigenvalues and eigenvectors
79786
How would PCA help with a k-means clustering analysis?
126886
Do the principal components change if we apply PCA more than once (recursively) on data?
98193
Why are we able to use Components of Vectors?
6206
How does centering make a difference in PCA (for SVD and eigen decomposition)?
156944
Is there a test/technique/method for comparing principal components decompositions between samples?
49582
How to visualize what canonical correlation analysis does (in comparison to what principal component analysis does)?
11188
Can principal component analysis be applied to datasets containing a mix of continuous and categorical variables?
69386
What's the relationship between initial eigenvalues and sums of squared loadings in factor analysis?
14181
Can averaging all the variables be seen as a crude form of PCA?
3589
How to reverse PCA and reconstruct original variables from several principal components?
87635
Why cannot I obtain a valid SVD of X via eigenvalue decomposition of XX' and X'X?
7603
Relationship between SVD and PCA. How to use SVD to perform PCA?
63042
What are the differences between Factor Analysis and Principal Component Analysis?
21885
Why is the determinant useful when finding eigenvectors?
140078
Interpretation of eigenvectors of Hessian in context of local min/max/saddle?