A Nonnegative Projection Based Algorithm for Low-Rank Nonnegative Matrix Approximation.
Peitao WangZhaoshui HeKan XieJunbin GaoMichael AntolovichPublished in: ICONIP (1) (2017)
Keyphrases
- low rank
- matrix decomposition
- objective function
- learning algorithm
- nonnegative matrix factorization
- k means
- matrix approximation
- matrix factorization
- expectation maximization
- low rank matrix
- worst case
- missing data
- singular value decomposition
- em algorithm
- theoretical guarantees
- matrix completion
- least squares
- high dimensional data
- low rank approximation
- sparse matrix