Is variable contribution to the top principal components a valid method to asses variable importance in a k-means clustering?
45832
What is the relation between k-means clustering and PCA?
118276
Multivariate multiple regression validation
32548
On the importance of the i.i.d. assumption in statistical learning
158823
Principal component analysis "backwards": how much variance of the data is explained by a given linear combination of the variables?
143724
Is it possible to use kernel PCA for feature selection?
145172
Objective function of canonical correlation analysis (CCA)
118753
Is feature selection with dummy coding of categorical variables problematic?
79467
Mapping k-means cluster centers and origins (measuring k-means accuracy)
26195
Is clustering (kmeans) appropriate for partitioning a one-dimensional array?
18487
Why are there only $n-1$ principal components for $n$ data if the number of dimensions is $\ge n$?
67557
Imputation of missing values for PCA
123334
When do we combine dimensionality reduction with clustering?
146118
Grouping predictor factor levels based on response variable
157062
Dimensionality reduction (SVD or PCA) on a large, sparse matrix
27143
Detecting significant predictors out of many independent variables
78581
Variable importance from GLMNET
139415
Interpretation of Importance score in Random Forest