A Cluster-based Approach for Improving Isotropy in Contextual Embedding Space.
Sara RajaeeMohammad Taher PilehvarPublished in: CoRR (2021)
Keyphrases
- semi supervised learning
- embedding space
- data points
- low dimensional
- euclidean space
- dimensionality reduction
- input space
- clustering algorithm
- manifold learning
- high dimensional
- contextual information
- data analysis
- graph embedding
- cluster analysis
- dimension reduction
- nearest neighbor
- geometric structure
- nonlinear dimensionality reduction
- data clustering
- feature selection