Misalignment problem in matrix decomposition with missing values.
Sofia FernandesMário AntunesDiogo GomesRui L. AguiarPublished in: DSAA (2021)
Keyphrases
- missing values
- matrix decomposition
- data matrix
- low rank
- missing data
- nonnegative matrix factorization
- incomplete data
- high dimensional data
- low rank matrix
- singular values
- matrix factorization
- rows and columns
- singular value decomposition
- convex optimization
- low rank approximation
- semi supervised
- feature extraction
- least squares
- pattern recognition