Randomized low rank approximation for nonnegative pure quaternion matrices.
Chengyao LyuJunjun PanMichael K. P. NgXile ZhaoPublished in: Appl. Math. Lett. (2024)
Keyphrases
- low rank approximation
- nonnegative matrix factorization
- low rank matrix approximation
- singular value decomposition
- low rank
- subspace learning
- data matrix
- spectral clustering
- kernel matrix
- data representation
- negative matrix factorization
- matrix factorization
- reconstruction error
- iterative algorithms
- latent semantic indexing
- objective function
- data dependent
- low rank matrices
- least squares
- data clustering
- matrix completion
- information retrieval
- data sets
- convex optimization
- original data
- missing data
- signal processing
- dimensionality reduction
- principal component analysis
- support vector machine
- pattern recognition
- training data
- low rank matrix