An Improved Subspace Clustering Algorithm Based on Sparse Representation.
Xiaohe WangYuping WangChunyang WangDandan TangPublished in: CIS (2019)
Keyphrases
- sparse representation
- clustering algorithm
- high dimensional data
- subspace learning
- subspace clustering
- basis vectors
- dimensionality reduction
- dictionary learning
- sparse coding
- orthogonal matching pursuit
- face recognition
- random projections
- reconstruction error
- compressive sensing
- image classification
- linear subspace
- image patches
- negative matrix factorization
- high dimensional
- regularized least squares
- image representation
- clustering method
- signal processing
- principal component analysis
- lower dimensional
- original data
- compressed sensing
- sparse reconstruction
- sparse approximations
- low dimensional
- low rank
- joint optimization
- neural network
- spectral clustering
- k means
- feature space
- data analysis
- norm minimization
- feature extraction
- dimension reduction
- test images
- image reconstruction
- input data
- sparsity constraints
- pattern recognition