Data Representation and Clustering with Double Low-Rank Constraints.
Haoming HeDeyu ZengChris DingZongze WuPublished in: ICONIP (4) (2022)
Keyphrases
- data representation
- low rank
- high dimensional data
- tensor decomposition
- data representations
- dimensionality reduction
- pairwise constraints
- missing data
- matrix factorization
- nonnegative matrix factorization
- linear combination
- convex optimization
- singular value decomposition
- semi supervised
- matrix completion
- rank minimization
- low rank matrix
- clustering algorithm
- trace norm
- high dimensional
- data points
- high order
- clustering method
- k means
- data clustering
- spectral clustering
- xml schema
- similarity search
- singular values
- feature selection
- principal component analysis
- subspace learning
- query processing
- subspace clustering
- xml documents
- small number
- recommender systems
- collaborative filtering
- higher order