Orthogonal nonnegative matrix factorization problems for clustering: A new formulation and a competitive algorithm.
Ja'far DehghanpourNezam Mahdavi-AmiriPublished in: Ann. Oper. Res. (2024)
Keyphrases
- nonnegative matrix factorization
- k means
- negative matrix factorization
- active set
- spectral clustering
- clustering method
- interior point
- objective function
- probabilistic model
- learning algorithm
- clustering algorithm
- computer vision
- least squares
- matrix decomposition
- probabilistic latent semantic indexing
- data clustering
- matrix factorization
- semi supervised clustering
- machine learning
- nonnegative matrix
- semidefinite programming
- expectation maximization
- input data
- linear programming
- data points
- similarity measure
- feature selection