Orthogonal graph regularized non-negative matrix factorization under sparse constraints for clustering.
Yasong ChenGuangwei QuJunjian ZhaoPublished in: Expert Syst. Appl. (2024)
Keyphrases
- negative matrix factorization
- sparsity constraints
- document clustering
- nonnegative matrix factorization
- sparse representation
- spectral clustering
- tensor factorization
- clustering method
- matrix factorization
- regularized least squares
- probabilistic latent semantic analysis
- graph clustering
- graph partitioning
- clustering algorithm
- principal component analysis
- unsupervised feature selection
- k means
- data clustering
- normalized cut
- unsupervised learning
- pairwise constraints
- text mining
- weighted graph
- sparse coding
- high dimensional data
- pairwise
- least squares
- dimensionality reduction
- image classification
- k nearest neighbor
- collaborative filtering
- data sets
- data points