Low-Rank Regularized Heterogeneous Tensor Decomposition for Subspace Clustering.
Jing ZhangXinhui LiPeiguang JingJing LiuYuting SuPublished in: IEEE Signal Process. Lett. (2018)
Keyphrases
- low rank
- tensor decomposition
- subspace clustering
- high dimensional data
- high dimensionality
- high dimensional
- dimensionality reduction
- matrix completion
- low rank matrix
- linear combination
- data sets
- data points
- low dimensional
- least squares
- rank minimization
- high order
- missing data
- singular value decomposition
- nearest neighbor
- clustering method
- matrix factorization
- affinity matrix
- convex optimization
- original data
- data analysis
- visual data
- clustering algorithm
- missing values
- auxiliary information
- sparse representation
- semi supervised
- text data
- neural network
- pattern recognition
- pairwise
- data representation