Are the terminologies of score and principal component in PCA equivalent?
17025
What exactly is called "principal component" in PCA?
39839
Doing principal component analysis or factor analysis on binary data
36477
Is there any required amount of variance captured by PCA in order to do later analyses?
112934
Is PCA followed by a rotation (such as varimax) still PCA?
115584
Dataset transformation for clustering after PCA
86082
Interpreting PCA scores
36609
Creating a single index from several principal components or factors retained from PCA/FA
18487
Why are there only $n-1$ principal components for $n$ data if the number of dimensions is $\ge n$?
79786
How would PCA help with a k-means clustering analysis?
143908
What are "rotated" and "unrotated" principal components, given that PCA always rotates the coordinates axes?
3089
Why PCA of data by means of SVD of the data?
14465
"Normalizing" variables for SVD / PCA
74282
Can I use PCA (or should I use regression) for testing the effect of multiple variables on one dependent variable?
45832
What is the relation between k-means clustering and PCA?
15197
Relation between trace and rank for projection matrices
29381
How to perform dimensionality reduction with PCA in R
90089
Why are PCA eigenvectors orthogonal and what is the relation to the PCA scores being uncorrelated?