Multi-cluster nonlinear unsupervised feature selection via joint manifold learning and generalized Lasso.
Yadi WangMengyao HuangLiming ZhouHangjun CheBingbing JiangPublished in: Expert Syst. Appl. (2024)
Keyphrases
- face recognition
- manifold learning
- unsupervised feature selection
- sparse representation
- data clustering
- dimensionality reduction
- feature selection
- feature extraction
- principal component analysis
- nonlinear manifold
- negative matrix factorization
- low dimensional manifolds
- low dimensional
- kernel pca
- dimension reduction
- semi supervised
- clustering algorithm
- cluster analysis
- high dimensional data
- unsupervised learning
- data points
- cluster structure
- linear discriminant analysis
- high dimensional
- feature space
- spectral clustering
- model selection
- principal components
- pattern recognition
- riemannian manifolds
- latent space
- matrix factorization
- training data
- feature subset
- feature set