What is the purpose of dimension reduction in classification?
88516
Is dimensionality reduction almost always useful for classification?
118753
Is feature selection with dummy coding of categorical variables problematic?
44431
The dimension of a subspace is less than dimension of the whole space.
17765
How to use SVD for dimensionality reduction to reduce the number of columns (features) of the data matrix?
7027
What is the purpose of a neural network activation function?
67671
What is the purpose of class methods?
24634
What is the difference between classification and regression?
6314
How can I classify data with the nearest-neighbor algorithm using Python?
123408
Why a subspace of a vector space is useful
1590
Why not approach classification through regression?
118742
How is a splitting point chosen for continuous variables in decision trees?
52827
Could negative dimension ever make sense?
102449
Weighting features prior to SVM
41356
Reason for square images in deep learning
29381
How to perform dimensionality reduction with PCA in R
115109
Euclidean distance is usually not good for sparse data (and more general case)?
138597
What is the justification for Rayleigh's method of dimensional analysis?