Keyphrases
- high dimensional data
- subspace learning
- low dimensional
- principal component analysis
- dimensionality reduction
- linear subspace
- clustering high dimensional data
- subspace methods
- subspace clustering
- lower dimensional
- kernel based nonlinear
- iterative process
- feature space
- canonical correlations
- real world
- feature extraction
- iterative algorithms
- linear projection
- feature selection
- artificial intelligence