Robust subspace learning-based low-rank representation for manifold clustering.
Kewei TangZhixun SuWei JiangJie ZhangXiyan SunXiaonan LuoPublished in: Neural Comput. Appl. (2019)
Keyphrases
- subspace learning
- linear subspace
- low rank representation
- affinity matrix
- manifold learning
- dimensionality reduction
- low dimensional
- high dimensional data
- data representation
- spectral clustering
- low rank
- clustering algorithm
- semi supervised
- sparse representation
- sparse coding
- clustering method
- principal component analysis
- face recognition
- unsupervised learning
- k means
- data points
- image space
- high dimensional
- graph construction
- pattern recognition
- image set
- dimension reduction
- learning algorithm
- probabilistic model
- nearest neighbor