Minimum amount of explained variance after Principal Component Analysis
36477
Is there any required amount of variance captured by PCA in order to do later analyses?
125697
How to determine significant principal components using bootstrapping or Monte Carlo approach?
3089
Why PCA of data by means of SVD of the data?
70917
What's the difference between principal component analysis and multidimensional scaling?
140078
Interpretation of eigenvectors of Hessian in context of local min/max/saddle?
140391
Minimum sample size per cluster in a random effect model
18487
Why are there only $n-1$ principal components for $n$ data if the number of dimensions is $\ge n$?
155987
Canonical Correlation analysis without raw data (algebra of CCA)
87448
Why is a sample covariance matrix singular when sample size is less than number of variables?
41608
Weighted principal components analysis
21036
What is the minimum number of data points required for kernel density estimation?
16641
Strange results of varimax rotation of principal component analysis in Stata: rotated components are all zeros and ones
143908
What are "rotated" and "unrotated" principal components, given that PCA always rotates the coordinates axes?
90215
Proof/Derivation of Residual Sum of Squares (Based on Introduction to Statistical Learning)
156166
PCA of non-Gaussian data
81645
Combining PCA, feature scaling, and cross-validation without training-test data leakage
105175
Variable ordering using PCA