Multiple graph regularized semi-supervised nonnegative matrix factorization with adaptive weights for clustering.
Kexin ZhangXuezhuan ZhaoSiyuan PengPublished in: Eng. Appl. Artif. Intell. (2021)
Keyphrases
- nonnegative matrix factorization
- semi supervised clustering
- semi supervised
- nonnegative matrix
- probabilistic latent semantic indexing
- manifold regularization
- least squares
- matrix factorization
- spectral clustering
- negative matrix factorization
- document clustering
- data representation
- semi supervised classification
- objective function
- matrix factorisation
- normalized cut
- sparsity constraints
- graph partitioning
- unsupervised learning
- principal component analysis
- original data
- clustering method
- linear combination
- clustering algorithm
- high dimensional data
- semi supervised learning
- high dimensional
- pairwise
- similarity measure
- feature selection
- computer vision
- machine learning