Dimensionality-reduced subspace clustering.
Reinhard HeckelMichael TschannenHelmut BölcskeiPublished in: CoRR (2015)
Keyphrases
- subspace clustering
- high dimensional
- high dimensional data
- high dimensionality
- subspace clustering algorithms
- dimensionality reduction
- subspace clusters
- clustering method
- clustering high dimensional data
- clustering algorithm
- reduced dimensionality
- feature space
- low dimensional
- high dimensional spaces
- nearest neighbor
- subspace projections
- data points
- lower dimensional
- overlapping clusters
- data analysis
- microarray
- low dimensional spaces
- subspace projection
- high dimensional feature spaces
- data sets
- clustering approaches
- learning algorithm
- feature selection
- principal component analysis
- semi supervised
- feature extraction