Graph constraint-based robust latent space low-rank and sparse subspace clustering.
Yunjun XiaoJia WeiJiabing WangQianli MaShandian ZheTolga TasdizenPublished in: Neural Comput. Appl. (2020)
Keyphrases
- subspace clustering
- low rank and sparse
- latent space
- high dimensional data
- high dimensional
- low dimensional
- low rank
- lower dimensional
- clustering method
- clustering algorithm
- dimensionality reduction
- gaussian process
- high dimensional spaces
- machine learning
- dimension reduction
- latent variables
- matrix factorization
- transfer learning
- missing data
- image classification
- text mining
- support vector
- probabilistic latent semantic analysis
- feature selection
- data sets