Unsupervised Adaptive Embedding for Dimensionality Reduction.
Jingyu WangFangyuan XieFeiping NieXuelong LiPublished in: IEEE Trans. Neural Networks Learn. Syst. (2022)
Keyphrases
- dimensionality reduction
- nonlinear dimensionality reduction
- structure preserving
- graph embedding
- discriminant projection
- unsupervised learning
- semi supervised
- low dimensional
- data driven
- high dimensional
- laplacian eigenmaps
- principal component analysis
- low dimensional spaces
- high dimensional data
- embedding space
- feature extraction
- locality preserving projections
- feature selection
- multidimensional scaling
- pattern recognition
- principal components
- manifold learning
- supervised learning
- neural network
- kernel pca
- discriminant analysis
- neighborhood preserving
- pattern recognition and machine learning
- feature space
- vector space
- high dimensionality
- dimension reduction
- locally linear embedding
- lower dimensional
- random projections
- metric learning