Identify original features corresponding to high singular/principal component values
26181
Using principal component analysis (PCA) for feature selection
52047
How can top principal components retain the predictive power on a dependent variable (or even lead to better predictions)?
105175
Variable ordering using PCA
16523
How to compute classification accuracy of PCA?
15083
Mahalanobis Distance on Singular Data
63996
How to derive a ranking function by analysing feature correlations
142784
For linear classifiers, do larger coefficients imply more important features?
80644
Finding the unbiased variance estimator in high dimensional spaces
158716
Cholesky versus eigendecomposition for drawing samples from a multivariate normal distribution
112134
What are principal component scores?
112991
What algorithms need feature scaling, beside from SVM?
126726
PCA, LDA, CCA, and PLS
146238
How to deal with a data-set having all the samples with every feature-point almost similar?
156676
How to compare features and classifiers which achieve perfect accuracy?
27929
Understanding shape and calculation of confidence bands in linear regression
152420
Robust PCA vs. robust Mahalanobis distance for outlier detection
55847
PCA demeaning the data