PCA iteratively finds directions of greatest variance; but how to find a whole subspace with greatest variance?
135047
Why does PCA maximize total variance of the projection?
105175
Variable ordering using PCA
126886
Do the principal components change if we apply PCA more than once (recursively) on data?
84446
How to project a new vector onto PCA space?
143724
Is it possible to use kernel PCA for feature selection?
112563
Approximate the second largest eigenvalue (and corresponding eigenvector) given the largest
48567
Skewed variables in PCA or factor analysis
137769
How to find a basis for a subspace?
6590
PCA and proportion of variance explained
16523
How to compute classification accuracy of PCA?
9286
Questions on PCA: when are PCs independent? why is PCA sensitive to scaling? why are PCs constrained to be orthogonal?
17025
What exactly is called "principal component" in PCA?
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
80644
Finding the unbiased variance estimator in high dimensional spaces
29381
How to perform dimensionality reduction with PCA in R
152147
Why is a set of orthonormal vectors linearly independent?