How to use SVD for dimensionality reduction to reduce the number of columns (features) of the data matrix?
7603
Relationship between SVD and PCA. How to use SVD to perform PCA?
150393
Rotating a new matrix into the same basis as another using SVD
158823
Principal component analysis "backwards": how much variance of the data is explained by a given linear combination of the variables?
41608
Weighted principal components analysis
44881
Using lasso for feature selection, followed by a non-regularized regression
144080
Singular value decomposition of column & row vectors
157044
$\chi^2 $ of multidimensional data
34844
What is dimensionality reduction? What is the difference between feature selection and extraction?
103877
The advantages and disadvantages of using Kaiser Rule to select the number of principal components
105377
Feature selection with Random Forests
72375
Efficiently Constructing Rank One Approximations for a Matrix using SVD
21071
How to perform SVD to impute missing values, a concrete example
3089
Why PCA of data by means of SVD of the data?
150043
How do I use the SVD in collaborative filtering?
126544
Constructing N-dimensional vectors out of point distances
146238
How to deal with a data-set having all the samples with every feature-point almost similar?
70640
Recovering eigenvectors from SVD