A competitive optimization approach for data clustering and orthogonal non-negative matrix factorization.
Ja'far Dehghanpour-SahronNezam Mahdavi-AmiriPublished in: 4OR (2021)
Keyphrases
- data clustering
- negative matrix factorization
- spectral clustering
- deterministic annealing
- unsupervised feature selection
- k means
- nonnegative matrix factorization
- document clustering
- cluster analysis
- clustering algorithm
- unsupervised learning
- sparse representation
- principal component analysis
- global optimization
- matrix factorization
- high dimensional
- neural network
- feature extraction
- decision trees
- computer vision
- information retrieval
- data mining
- real world