Discovering Low-Dimensional Descriptions of Multineuronal Dependencies.
Lazaros MitskopoulosArno OnkenPublished in: Entropy (2023)
Keyphrases
- low dimensional
- high dimensional
- manifold learning
- dimensionality reduction
- high dimensional data
- high level
- dimension reduction
- input space
- multidimensional scaling
- euclidean space
- feature space
- data points
- dependency graphs
- principal component analysis
- data sets
- subspace learning
- linear subspace
- graph embedding
- symbolic description
- vector space
- locally linear embedding
- automatically discovering
- linear dimensionality reduction
- natural language descriptions
- database schemes
- data dependencies
- pattern recognition
- data exchange