Low-rank local tangent space embedding for subspace clustering.
Tingquan DengDongsheng YeRong MaHamido FujitaLvnan XiongPublished in: Inf. Sci. (2020)
Keyphrases
- low rank
- subspace clustering
- high dimensional data
- low dimensional
- dimensionality reduction
- high dimensionality
- high dimensional
- nearest neighbor
- vector space
- linear combination
- data sets
- data analysis
- similarity search
- missing data
- convex optimization
- kernel matrix
- data points
- clustering method
- singular value decomposition
- matrix factorization
- dimension reduction
- input space
- latent space
- semi supervised
- manifold learning
- sparse representation
- pairwise
- clustering algorithm
- riemannian manifolds
- high order
- least squares
- image data
- learning algorithm