Laplacian regularized deep low-rank subspace clustering network.
Yongyong ChenLei ChengZhongyun HuaShuang YiPublished in: Appl. Intell. (2023)
Keyphrases
- low rank
- subspace clustering
- high dimensional data
- ell norm
- affinity matrix
- trace norm
- low rank matrix
- missing data
- rank minimization
- dimensionality reduction
- matrix factorization
- matrix completion
- high order
- high dimensional
- high dimensionality
- singular value decomposition
- nearest neighbor
- data sets
- clustering method
- low dimensional
- subspace clusters
- data analysis
- linear combination
- convex optimization
- semi supervised
- data points
- clustering algorithm
- complex networks
- least squares
- neural network
- norm minimization
- original data
- network structure
- sparse representation
- text classification
- input data
- collaborative filtering