Robust clustering with sparse corruption via ℓ2, 1, ℓ1 norm constraint and Laplacian regularization.
Min ZhaoJinglei LiuPublished in: Expert Syst. Appl. (2021)
Keyphrases
- norm minimization
- mixed norm
- sparse coding
- rank minimization
- sparsity constraints
- sparse representation
- clustering algorithm
- k means
- robust principal component analysis
- trace norm
- unsupervised learning
- clustering method
- group lasso
- regularization method
- nonnegative matrix factorization
- structured sparsity
- low rank
- sparsity regularization
- tikhonov regularization
- sparsity inducing
- dense motion estimation
- convex optimization
- data clustering
- data points
- penalty term
- unsupervised feature selection
- low rank matrix
- spectral clustering
- document clustering
- objective function
- negative matrix factorization
- variable selection
- half quadratic
- fuzzy clustering
- low rank matrices
- high dimensional