A hybrid algorithm for low-rank approximation of nonnegative matrix factorization.
Peitao WangZhaoshui HeKan XieJunbin GaoMichael AntolovichBeihai TanPublished in: Neurocomputing (2019)
Keyphrases
- nonnegative matrix factorization
- hybrid algorithm
- low rank approximation
- negative matrix factorization
- spectral clustering
- particle swarm optimization
- matrix factorization
- data representation
- simulated annealing
- tabu search
- optimal solution
- least squares
- differential evolution
- genetic algorithm
- principal component analysis
- ant colony optimization
- original data
- optimization method
- document clustering
- objective function
- unsupervised learning
- image classification
- feature extraction