Self-organizing mappings on the Grassmannian with applications to data analysis in high dimensions.
Xiaofeng MaMichael KirbyChris PetersonLouis ScharfPublished in: Neural Comput. Appl. (2020)
Keyphrases
- high dimensions
- data analysis
- high dimensional data
- subspace learning
- high dimensional
- high dimensional spaces
- neural network
- poor quality
- nearest neighbor
- dimensionality reduction
- indexing schemes
- data mining
- sparse representation
- similarity search
- data distribution
- high dimensionality
- low dimensional
- machine learning
- high quality
- image processing