Subspace Clustering and Feature Extraction Based on Latent Sparse Low-Rank Representation.
Lina ZhaoFang MaHong-Wei YangPublished in: ICMLC (2019)
Keyphrases
- subspace clustering
- low rank representation
- affinity matrix
- feature extraction
- high dimensional data
- linear subspace
- clustering method
- high dimensional
- low rank
- dimensionality reduction
- clustering algorithm
- subspace clusters
- low dimensional
- dimension reduction
- feature vectors
- feature selection
- high dimensionality
- feature space
- latent variables
- manifold learning
- principal component analysis
- face recognition
- image classification
- linear discriminant analysis
- image processing
- data sets
- linear combination
- data analysis
- pattern recognition
- computer vision