High-dimensional labeled data analysis with topology representing graphs.
Michaël AupetitThibaud CatzPublished in: Neurocomputing (2005)
Keyphrases
- high dimensional
- data analysis
- high dimensional data
- labeled graphs
- small world
- graph matching
- training data
- similarity search
- data mining
- low dimensional
- variable selection
- machine learning
- data collection
- dimensionality reduction
- topological information
- nearest neighbor
- noisy data
- fully connected
- reeb graph
- high dimensionality
- directed graph
- text mining
- knowledge discovery
- gene expression data
- metric space
- pattern discovery
- graph theory
- cluster analysis
- data processing
- feature space