Graph Regularized Non-negative Matrix Factorization By Maximizing Correntropy.
Le LiJianjun YangKaili ZhaoYang XuHonggang ZhangZhuoyi FanPublished in: CoRR (2014)
Keyphrases
- negative matrix factorization
- sparsity constraints
- sparse representation
- matrix factorization
- nonnegative matrix factorization
- principal component analysis
- document clustering
- weighted graph
- least squares
- tensor factorization
- regularized least squares
- constrained least squares
- half quadratic
- graph representation
- latent semantic space
- low rank
- machine learning
- spectral clustering
- knn
- k means
- information retrieval