use of singular value decomposition for dimensionality reduction
7603
Relationship between SVD and PCA. How to use SVD to perform PCA?
156944
Is there a test/technique/method for comparing principal components decompositions between samples?
18515
Clustering with a distance matrix
72375
Efficiently Constructing Rank One Approximations for a Matrix using SVD
143724
Is it possible to use kernel PCA for feature selection?
76619
Computing kernels of a matrix in distinct cases
25539
Algorithms for automatic model selection
117085
Linear Discriminant Analysis for $p=1$
23640
Theory behind partial least squares regression
71640
k-means implementation with custom distance matrix in input
74683
Computationally efficient estimation of multivariate mode
24814
Is PCA still done via the eigendecomposition of the covariance matrix when dimensionality is larger than the number of observations?
99413
Are mean normalization and feature scaling needed for k-means clustering?
48283
Feature selection and cross-validation
14465
"Normalizing" variables for SVD / PCA
113046
Coefficients and significance of lasso/ridge
67095
Spectral Measures: Embedding