Deep subspace clustering to achieve jointly latent feature extraction and discriminative learning.
Qinjian HuangYue ZhangHong PengTingting DanWanlin WengHongmin CaiPublished in: Neurocomputing (2020)
Keyphrases
- subspace clustering
- discriminative learning
- feature extraction
- generative model
- high dimensional data
- subspace clusters
- clustering method
- clustering algorithm
- feature selection
- data sets
- weakly supervised
- high dimensional
- linear discriminant analysis
- maximum margin
- pairwise constraints
- face recognition
- highly efficient
- text categorization
- image set
- high dimensionality
- document collections
- k means
- feature vectors
- feature space
- pattern recognition
- similarity measure
- information retrieval