Keyphrases
- low dimensional
- subspace learning
- subspace clustering
- high dimensional data
- linear subspace
- dimensionality reduction
- principal component analysis
- high dimensional
- feature space
- genetic algorithm
- lower dimensional
- machine learning
- linear projection
- subspace clusters
- eigendecomposition
- principal components analysis
- clustering high dimensional data
- singular value decomposition
- covariance matrices
- principal components
- neural network
- image sequences
- data mining