Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding.
Kamel AbdousNairouz MrabahMohamed BouguessaPublished in: CoRR (2023)
Keyphrases
- graph embedding
- low dimensional
- high dimensional
- dimensionality reduction
- embedding space
- manifold learning
- high dimensional data
- semi supervised
- subspace learning
- data points
- data representation
- discriminant analysis
- similarity search
- feature representation
- discriminant embedding
- feature space
- unsupervised learning
- nearest neighbor
- dictionary learning
- feature extraction
- sparse coding
- geometric properties
- data analysis
- feature selection
- co occurrence
- data warehouse