Clustering a union of low-rank subspaces of different dimensions with missing data.
Morteza AshraphijuoXiaodong WangPublished in: Pattern Recognit. Lett. (2019)
Keyphrases
- low rank
- missing data
- high dimensional data
- low rank representation
- matrix factorization
- matrix completion
- missing values
- low rank matrix
- affinity matrix
- structure from motion
- motion segmentation
- rank minimization
- data points
- clustering algorithm
- k means
- low rank matrix factorization
- clustering method
- missing entries
- singular values
- data matrix
- nonnegative matrix factorization
- high dimensional
- spectral clustering
- dimensionality reduction
- linear combination
- incomplete data
- nearest neighbor
- convex optimization
- low dimensional
- high order
- principal component analysis
- document clustering
- singular value decomposition
- pairwise
- feature space
- pattern recognition
- data sets
- higher order