High-dimensional labeled data analysis with Gabriel graphs.
Michaël AupetitPublished in: ESANN (2003)
Keyphrases
- high dimensional
- data analysis
- neighborhood graph
- high dimensional data
- labeled graphs
- data points
- minimum spanning trees
- manifold learning
- graph matching
- data collection
- cluster analysis
- dimensionality reduction
- low dimensional
- data processing
- multi dimensional
- data warehouse
- sparse data
- nearest neighbor
- graph theory
- feature space
- graph mining
- high dimensionality
- graph embedding
- subgraph isomorphism
- graph theoretic
- spanning tree
- graph databases
- biological data
- big data
- data sets
- similarity search
- rough sets
- supervised learning
- pattern recognition
- machine learning
- weighted graph
- metric space
- parameter space
- directed graph
- minimum spanning tree