PCA on returns: to scale or not to scale
6316
PCA on correlation or covariance?
155433
Examples of PCA where PCs with low variance are "useful"
45832
What is the relation between k-means clustering and PCA?
39839
Doing principal component analysis or factor analysis on binary data
7632
Interpretation of biplots in principal components analysis
27929
Understanding shape and calculation of confidence bands in linear regression
7779
How does centering the data get rid of the intercept in regression and PCA?
10466
Making sense of principal component analysis, eigenvectors & eigenvalues
154899
Is it valid to perform PCA if Kaiser-Meyer-Olkin (KMO) index is very low?
70917
What's the difference between principal component analysis and multidimensional scaling?
156166
PCA of non-Gaussian data
15196
Why scaling is important for the linear SVM classification?
118103
Does PCA's reconstruction error get reduced with more PCs being used?
158823
Principal component analysis "backwards": how much variance of the data is explained by a given linear combination of the variables?
9663
Is it a good practice to always scale/normalize data for machine learning?
81049
What norm of the reconstruction error is minimized by the low-rank approximation matrix obtained with PCA?
116362
Is PCA unstable under multicollinearity?