Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction.
M. Saquib SarfrazMarios KoulakisConstantin SeiboldRainer StiefelhagenPublished in: CoRR (2022)
Keyphrases
- graph embedding
- dimensionality reduction
- nearest neighbor
- high dimensional
- high dimensional data
- low dimensional
- data representation
- feature extraction
- semi supervised
- discriminant analysis
- subspace learning
- principal component analysis
- data points
- discriminant embedding
- feature space
- unsupervised learning
- semi supervised dimensionality reduction
- knn
- k nearest neighbor
- pattern recognition
- multiscale
- image processing
- supervised dimensionality reduction