Understanding PCA done on permuted data
39112
Does a correlation matrix of two variables always have the same eigenvectors?
134597
How do substution-permutation networks work?
155987
Canonical Correlation analysis without raw data (algebra of CCA)
13787
Why log-transforming the data before performing principal component analysis?
14465
"Normalizing" variables for SVD / PCA
20659
Is trace invariant under cyclic permutation with rectangular matrices?
2632
PCA and the train/test split
67177
Markov chains, cellular automata, and raster algebra
101622
Choosing number of principal components to retain
38169
Bounds on off-diagonal entries of a correlation matrix
116362
Is PCA unstable under multicollinearity?
6590
PCA and proportion of variance explained
55847
PCA demeaning the data
108567
Nielsen & Chuang Exercise 2.2 - “Matrix representations: example”
59106
Components of an n-dimensional random variable from a uniform distribution are independent
24814
Is PCA still done via the eigendecomposition of the covariance matrix when dimensionality is larger than the number of observations?
82178
Does it make sense to combine PCA and LDA?