Interpreting Distortions in Dimensionality Reduction by Superimposing Neighbourhood Graphs.
Benoît ColangeLaurent VuillonSylvain LespinatsDenys DutykhPublished in: IEEE VIS (Short Papers) (2019)
Keyphrases
- dimensionality reduction
- graph embedding
- high dimensional data
- high dimensionality
- data representation
- low dimensional
- pattern recognition
- principal component analysis
- graph construction
- feature space
- high dimensional
- pattern recognition and machine learning
- random projections
- linear discriminant analysis
- structure preserving
- image distortion
- graph theoretic
- graph theory
- graph representation
- graph structure
- machine learning
- feature extraction
- feature selection
- dimensionality reduction methods
- geometric distortions
- nonlinear dimensionality reduction
- graph structures
- weighted graph
- metric learning
- graph partitioning
- manifold learning
- graph clustering
- principal components
- directed graph
- data points