Keyphrases
- subspace clustering
- feature space
- low dimensional
- principal component analysis
- dimensionality reduction
- neural network
- clustering high dimensional data
- linear subspace
- lower dimensional
- subspace learning
- affine transformation
- subspace clusters
- subspace methods
- affine invariant
- high dimensional data
- high dimensional
- feature extraction
- kernel based nonlinear
- arc consistency
- data sets
- principal components
- geometric transformations
- input data