DSCOFS embeds simultaneous ℓ2,0 row sparsity and ℓ0 element sparsity into PCA for unsupervised feature selection, with an alternating minimization solver and claimed gains in clustering accuracy and normalized mutual information.
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Enhancing Unsupervised Feature Selection via Double Sparsity Constrained Optimization
DSCOFS embeds simultaneous ℓ2,0 row sparsity and ℓ0 element sparsity into PCA for unsupervised feature selection, with an alternating minimization solver and claimed gains in clustering accuracy and normalized mutual information.