A new graph-preserving unsupervised feature selection embedding LLE with low-rank constraint and feature-level representation.
Xiaohong HanHaishui ChaiPing LiuDengao LiLi WangPublished in: Artif. Intell. Rev. (2020)
Keyphrases
- low rank
- unsupervised feature selection
- data matrix
- high dimensional data
- linear combination
- matrix factorization
- convex optimization
- singular value decomposition
- missing data
- dimensionality reduction
- feature selection
- high order
- low dimensional
- semi supervised
- high dimensional
- data clustering
- nonnegative matrix factorization
- manifold structure
- image representation
- missing values
- machine learning
- original data
- manifold learning
- higher order
- multiresolution
- object level
- singular values
- cluster structure