Does PCA create new features or give weights to old ones?
10466
Making sense of principal component analysis, eigenvectors & eigenvalues
46319
How to perform orthogonal regression (total least squares) via PCA?
84446
How to project a new vector onto PCA space?
41608
Weighted principal components analysis
63042
What are the differences between Factor Analysis and Principal Component Analysis?
112934
Is PCA followed by a rotation (such as varimax) still PCA?
25410
What is an intuitive explanation for how PCA turns from a geometric problem (with distances) to a linear algebra problem (with eigenvectors)?
90089
Why are PCA eigenvectors orthogonal and what is the relation to the PCA scores being uncorrelated?
26181
Using principal component analysis (PCA) for feature selection
143724
Is it possible to use kernel PCA for feature selection?
36477
Is there any required amount of variance captured by PCA in order to do later analyses?
49582
How to visualize what canonical correlation analysis does (in comparison to what principal component analysis does)?
45832
What is the relation between k-means clustering and PCA?
6206
How does centering make a difference in PCA (for SVD and eigen decomposition)?
56397
Why do smaller weights result in simpler models in regularization?
152420
Robust PCA vs. robust Mahalanobis distance for outlier detection
42297
Minimum sample size for PCA or FA when the main goal is to estimate only few components?