Unsupervised Feature Selection With Extended OLSDA via Embedding Nonnegative Manifold Structure.
Rui ZhangHongyuan ZhangXuelong LiSheng YangPublished in: IEEE Trans. Neural Networks Learn. Syst. (2022)
Keyphrases
- unsupervised feature selection
- manifold structure
- dimensionality reduction
- graph embedding
- latent space
- low dimensional
- nonnegative matrix factorization
- manifold learning
- data matrix
- feature selection
- semi supervised learning
- data clustering
- spectral clustering
- matrix factorization
- low rank
- data points
- sparse coding
- geometric structure
- negative matrix factorization
- pattern recognition
- metric learning
- vector space
- unsupervised learning
- latent variables
- singular value decomposition
- shape variations
- probabilistic latent semantic analysis
- high dimensional data
- principal component analysis
- high dimensional
- data analysis