Low-Rank Linear Embedding for Robust Clustering.
Jie ZhouWitold PedryczJun WanCan GaoZhihui LaiXiaodong YuePublished in: IEEE Trans. Knowl. Data Eng. (2023)
Keyphrases
- low rank
- low rank matrix
- rank minimization
- high dimensional data
- low rank subspace
- matrix factorization
- convex optimization
- low rank representation
- linear combination
- singular value decomposition
- matrix decomposition
- clustering algorithm
- matrix completion
- missing data
- robust principal component analysis
- semi supervised
- clustering method
- kernel matrix
- singular values
- high order
- multidimensional scaling
- trace norm
- sparse matrix
- k means
- minimization problems
- dimensionality reduction
- data sets
- data clustering
- approximation methods
- data matrix
- negative matrix factorization
- norm minimization
- pairwise
- face recognition
- spectral clustering
- document clustering
- collaborative filtering
- learning algorithm