SNOW, un algorithme exploratoire pour le subspace clustering.
Sylvain DormieuNicolas LabrochePublished in: EGC (2013)
Keyphrases
- subspace clustering
- high dimensional data
- clustering method
- subspace clusters
- clustering algorithm
- high dimensional
- clustering high dimensional data
- clustering approaches
- overlapping clusters
- high dimensional feature spaces
- dimensionality reduction
- subspace projections
- high dimensionality
- principal component analysis
- pattern recognition
- subgraph mining
- low dimensional spaces
- training data