Keyphrases
- low dimensional
- dimensionality reduction
- high dimensional data
- hilbert space
- high dimensional
- principal component analysis
- linear subspace
- manifold learning
- subspace clustering
- subspace learning
- vector space
- lower dimensional
- feature space
- clustering high dimensional data
- linear projection
- low dimensional spaces
- higher dimensional
- infinite dimensional
- dimension reduction
- feature selection
- principal components analysis
- distance measure
- data points
- feature extraction
- image processing