Why is scaling the data needed before principal component analysis (PCA)
6316
PCA on correlation or covariance?
85010
What're the differences between PCA and autoencoder?
118103
Does PCA's reconstruction error get reduced with more PCs being used?
26181
Using principal component analysis (PCA) for feature selection
156166
PCA of non-Gaussian data
116179
Is principal component regression (PCR) using principal component scores for regression?
143679
Is the sign of principal components meaningless?
154304
Do PCA affect different classification methods?
101622
Choosing number of principal components to retain
22551
What can cause PCA to worsen results of a classifier?
41608
Weighted principal components analysis
157062
Dimensionality reduction (SVD or PCA) on a large, sparse matrix
142623
scaling for SVM destroys my results
7779
How does centering the data get rid of the intercept in regression and PCA?
70245
Why is the eigenvector in PCA taken to be unit norm?
10466
Making sense of principal component analysis, eigenvectors & eigenvalues
39155
How and why do normalization and feature scaling work?