Interpreting Distortions in Dimensionality Reduction by Superimposing Neighbourhood Graphs.
Benoît ColangeLaurent VuillonSylvain LespinatsDenys DutykhPublished in: CoRR (2019)
Keyphrases
- dimensionality reduction
- graph embedding
- graph construction
- high dimensional
- data representation
- low dimensional
- graph matching
- linear discriminant analysis
- high dimensionality
- principal component analysis
- pattern recognition
- feature space
- graph theoretic
- graph mining
- graph theory
- principal components
- pattern recognition and machine learning
- high dimensional data
- feature extraction
- subgraph isomorphism
- data sets
- structure preserving
- data points
- nonlinear dimensionality reduction
- graph representation
- random projections
- geometric distortions
- linear dimensionality reduction
- manifold learning
- dimensionality reduction methods
- graph clustering
- graph partitioning
- discriminant analysis
- directed graph
- imaging process
- least squares
- pairwise
- computer vision