Greedy feature selection for subspace clustering.
Eva L. DyerAswin C. SankaranarayananRichard G. BaraniukPublished in: J. Mach. Learn. Res. (2013)
Keyphrases
- subspace clustering
- feature selection
- high dimensionality
- high dimensional data
- subspace clusters
- dimensionality reduction
- clustering method
- forward selection
- clustering high dimensional data
- clustering algorithm
- text categorization
- high dimensional
- machine learning
- feature set
- feature space
- feature extraction
- text classification
- support vector
- subspace projections
- low dimensional spaces
- subgraph mining
- greedy algorithm
- high dimensional feature spaces
- dense regions
- database
- decision trees
- discriminant analysis
- feature vectors
- data points
- unsupervised learning