Consistent Semi-Supervised Graph Regularization for High Dimensional Data.
Xiaoyi MaiRomain CouilletPublished in: J. Mach. Learn. Res. (2021)
Keyphrases
- high dimensional data
- semi supervised
- dimensionality reduction
- manifold learning
- subspace learning
- nearest neighbor
- low rank
- graph construction
- high dimensional
- semi supervised classification
- subspace clustering
- low dimensional
- data points
- high dimensionality
- data analysis
- high dimensions
- similarity search
- data sets
- graph laplacian
- clustering high dimensional data
- data distribution
- semi supervised learning
- sparse representation
- dimension reduction
- neighborhood graph
- input space
- random walk
- weighted graph
- dimensional data
- active learning
- kernel machines
- input data
- lower dimensional
- nonlinear dimensionality reduction
- high dimensional datasets
- high dimensional data sets
- pairwise
- decision trees
- structured data
- underlying manifold
- computer vision
- neural network
- locally linear embedding
- supervised learning
- metric learning
- variable selection
- linear discriminant analysis