How do PCA/SVD Decorrelate the variables
7603
Relationship between SVD and PCA. How to use SVD to perform PCA?
11188
Can principal component analysis be applied to datasets containing a mix of continuous and categorical variables?
101622
Choosing number of principal components to retain
45832
What is the relation between k-means clustering and PCA?
82178
Does it make sense to combine PCA and LDA?
143679
Is the sign of principal components meaningless?
6058
Visualizing a million, PCA edition
125697
How to determine significant principal components using bootstrapping or Monte Carlo approach?
45858
How to compute varimax-rotated principal components in R?
4244
How to compute PCA scores from eigendecomposition of the covariance matrix?
116362
Is PCA unstable under multicollinearity?
21224
Applying PCA to data that fail a normality test
13787
Why log-transforming the data before performing principal component analysis?
17765
How to use SVD for dimensionality reduction to reduce the number of columns (features) of the data matrix?
18487
Why are there only $n-1$ principal components for $n$ data if the number of dimensions is $\ge n$?
157062
Dimensionality reduction (SVD or PCA) on a large, sparse matrix
85031
How to interpret this PCA biplot to determine which attributes to pick?