Unsupervised Discriminative Feature Selection With $\ell _{2,0}$ℓ2,0-Norm Constrained Sparse Projection

Feature selection plays an important role in a wide spectrum of applications. Most of the sparsity-based feature selection methods tend to solve a relaxed $\ell _{2,p}$ℓ2,p-norm ($0 < p \leq 1$0